{"meta":{"query_hash":"ac66974ed78a","filters":{"venue":"Journal of Regulatory Science"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ac66974ed78a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Regulatory+Science"},"results":[{"id":"W2993579411","doi":"10.21423/jrs-v07hannel","title":"An Approach for Predicting Mainstream Cigarette Smoke Harmful and Potentially Harmful Constituent (HPHC) Yields","year":2019,"lang":"en","type":"article","venue":"Journal of Regulatory Science","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Canada","keywords":"Consistency (knowledge bases); Repeatability; Quality (philosophy); Portfolio; Process engineering; Computer science; Biochemical engineering; Environmental science; Mathematics; Statistics; Engineering; Business; Artificial intelligence","score_opus":0.0760355844758024,"score_gpt":0.38523782247646976,"score_spread":0.3092022380006674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993579411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89176226,0.00025514697,0.10400014,0.00017010354,0.0012633344,0.00039619833,0.000009492468,0.000018515428,0.002124828],"genre_scores_gemma":[0.8152858,0.0000056929252,0.18406329,0.00022646622,0.00015222203,0.0000032945375,3.8033758e-7,0.000012431645,0.0002503931],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99445826,0.00025632323,0.0010884984,0.00073503784,0.0029588894,0.00050298864],"domain_scores_gemma":[0.9959825,0.0005496726,0.0010473335,0.0007041366,0.001139615,0.0005767428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016695432,0.0002306227,0.0005235773,0.0006581772,0.00041101125,0.0008149153,0.0017941938,0.00011930791,0.00009816507],"category_scores_gemma":[0.00179048,0.00016834198,0.00019548241,0.0008674336,0.0012948092,0.0027784202,0.00021525695,0.00030741512,0.000004823769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005417075,0.0004026848,0.16230036,0.000037536814,0.000071241855,0.00003453586,0.0016225085,0.00938053,0.6952615,0.0051117106,0.0009908762,0.1242448],"study_design_scores_gemma":[0.0065159784,0.005425054,0.39719898,0.0003185588,0.00019573305,0.0027003237,0.015681945,0.27170205,0.28404963,0.008598181,0.005984187,0.0016293882],"about_ca_topic_score_codex":0.0000052258465,"about_ca_topic_score_gemma":3.2547814e-7,"teacher_disagreement_score":0.41121188,"about_ca_system_score_codex":0.00013576644,"about_ca_system_score_gemma":0.0007086481,"threshold_uncertainty_score":0.78582466},"labels":[],"label_agreement":null},{"id":"W3173191299","doi":"10.21423/jrs-v09i2ludlow","title":"Socio-Economic Considerations and Potential Implications for Gene-Edited Crops","year":2021,"lang":"en","type":"article","venue":"Journal of Regulatory Science","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Commercialization; Biosafety; CLARITY; Consistency (knowledge bases); Variety (cybernetics); Biotechnology; Business; Risk analysis (engineering); Genetically modified organism; Environmental planning; Political science; Computer science; Biology; Marketing; Geography","score_opus":0.031397229449471986,"score_gpt":0.27525888323103914,"score_spread":0.24386165378156716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173191299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98844904,0.00017455807,0.0002729368,0.01079135,0.00016475025,0.00007816653,0.000024101722,0.0000051046627,0.00003998958],"genre_scores_gemma":[0.9951247,0.000030094989,0.004370788,0.00013783675,0.00025923207,0.0000021674666,0.0000015264344,6.2975096e-7,0.00007305524],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991646,0.000032531265,0.00023175318,0.0001811384,0.00019400186,0.00019598362],"domain_scores_gemma":[0.99891996,0.00016860131,0.00011309299,0.000059562113,0.0005528342,0.00018594765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057349674,0.000056539226,0.00010795255,0.000026166774,0.00052843115,0.00019967742,0.00018778087,0.000041799794,0.00012773678],"category_scores_gemma":[0.00023660208,0.00002616367,0.00006098791,0.00016340626,0.000457479,0.00020796749,0.00007519792,0.00007486504,0.000003151637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000341208,0.000016556634,0.0019428461,0.0000011630847,0.0000048016655,0.000002174162,0.00002221724,0.00006989144,0.99113244,0.002208992,0.0005257405,0.004069792],"study_design_scores_gemma":[0.00016030826,0.0001216856,0.8861666,0.0000039942965,0.000010946142,0.00040959587,0.00016602111,0.0001719823,0.09903448,0.012811652,0.0008627163,0.00008007625],"about_ca_topic_score_codex":0.0000034647771,"about_ca_topic_score_gemma":0.000013305244,"teacher_disagreement_score":0.89209795,"about_ca_system_score_codex":0.000055433728,"about_ca_system_score_gemma":0.0003256291,"threshold_uncertainty_score":0.40643188},"labels":[],"label_agreement":null},{"id":"W3204369351","doi":"10.21423/jrs-v09i2moore","title":"How Protective to the Environment is the Pesticide Risk Assessment and Registration Process in the United States?","year":2021,"lang":"en","type":"article","venue":"Journal of Regulatory Science","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intrinsik (Canada)","funders":"","keywords":"Agency (philosophy); Pesticide; Unintended consequences; Environmental planning; Business; Process (computing); Risk analysis (engineering); Environmental resource management; Environmental protection; Political science; Environmental science; Computer science; Law; Ecology; Biology","score_opus":0.028829138026472627,"score_gpt":0.29081948594605167,"score_spread":0.26199034791957904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204369351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510205,0.00010139756,0.00009097203,0.04847166,0.000029625011,0.00022695042,0.000004363387,0.000001275039,0.00005324987],"genre_scores_gemma":[0.9992177,0.00006948031,0.000062653155,0.0005200984,0.00007529246,0.000008608775,6.536384e-7,3.4384007e-7,0.00004516087],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983793,0.0003046539,0.00014383878,0.00013609028,0.0008565778,0.00017955164],"domain_scores_gemma":[0.99912846,0.00034169835,0.0001708271,0.00008014752,0.00021787235,0.000061018185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003387955,0.0000628574,0.00007167116,0.000023228491,0.0005748963,0.00038047653,0.00046685542,0.000020270001,0.00002414785],"category_scores_gemma":[0.00029508566,0.000014677402,0.000027419746,0.0008565501,0.00033568297,0.00020296316,0.00005266408,0.000293845,7.8158064e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002976619,0.00072817196,0.3464019,0.00006506863,0.00008313168,0.000280023,0.04554918,0.01991393,0.3497183,0.005641907,0.0031830384,0.22813769],"study_design_scores_gemma":[0.000056728935,0.0002822974,0.9822047,0.00002288124,0.000007139879,0.000068532885,0.0071408274,0.0011487405,0.002827725,0.0027941824,0.0033978173,0.00004847544],"about_ca_topic_score_codex":0.000058761074,"about_ca_topic_score_gemma":0.00011917576,"teacher_disagreement_score":0.63580275,"about_ca_system_score_codex":0.00006051321,"about_ca_system_score_gemma":0.00011346173,"threshold_uncertainty_score":0.44216958},"labels":[],"label_agreement":null}]}