{"meta":{"query_hash":"321530ca004d","filters":{"venue":"Journal of computational science and data analytics."},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/321530ca004d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+computational+science+and+data+analytics."},"results":[{"id":"W4403131692","doi":"10.69660/jcsda.01012405","title":"Rule based chatbot design methods: A review","year":2024,"lang":"en","type":"review","venue":"Journal of computational science and data analytics.","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":4,"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":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Chatbot; Computer science; World Wide Web; Data science","score_opus":0.23967835175181076,"score_gpt":0.4632380994776745,"score_spread":0.22355974772586376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403131692","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.62088e-7,0.96528345,0.03350915,0.00035599573,0.00037576514,0.00021539826,0.000022810449,0.000014834446,0.00022221696],"genre_scores_gemma":[0.0000028092543,0.96006805,0.038248993,0.0011945528,0.00038452147,0.0000029882028,0.000055330278,0.00001660424,0.000026135358],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973082,0.000070686954,0.00096029846,0.0004279846,0.0009895861,0.00024323563],"domain_scores_gemma":[0.9970114,0.0005141472,0.0010716133,0.00039075263,0.0009634392,0.00004863923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013360045,0.00025736509,0.00096575153,0.0011669295,0.00020065854,0.0008030024,0.001526967,0.000053058877,0.000069477],"category_scores_gemma":[0.0020796403,0.00017399176,0.00018500275,0.0025078128,0.00028739765,0.0015769585,0.00073590555,0.00034429412,0.000061648076],"study_design_candidate":"design_other","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":[0.0000024135375,0.000024143328,0.00000299683,0.014741053,0.000042225653,0.000033259334,0.0000014560871,0.00005240102,1.6411674e-7,0.00030551892,0.017078457,0.9677159],"study_design_scores_gemma":[0.00006549836,0.000007059796,0.000013026463,0.028148387,0.003719035,0.00008485703,0.0000039728147,0.01583871,2.522959e-8,0.001202427,0.95070827,0.00020874108],"about_ca_topic_score_codex":0.000008328108,"about_ca_topic_score_gemma":4.6084216e-7,"teacher_disagreement_score":0.9675072,"about_ca_system_score_codex":0.00006558095,"about_ca_system_score_gemma":0.0016305858,"threshold_uncertainty_score":0.77433705},"labels":[],"label_agreement":null},{"id":"W4403131774","doi":"10.69660/jcsda.01012402","title":"Feature Selection Methods for ICU Mortality Prediction Model","year":2024,"lang":"en","type":"article","venue":"Journal of computational science and data analytics.","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Feature selection; Feature (linguistics); Selection (genetic algorithm); Computer science; Artificial intelligence; Model selection; Machine learning; Data mining","score_opus":0.10000800395555273,"score_gpt":0.47193679532439564,"score_spread":0.37192879136884294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403131774","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021466622,0.000391497,0.989592,0.007235864,0.0004298795,0.00008195919,0.00003472748,0.00003409491,0.00005332821],"genre_scores_gemma":[0.20474875,0.000031386735,0.7946981,0.000249808,0.00020424595,0.0000010701415,0.00001674787,0.000004069924,0.000045797024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844605,0.0000695089,0.00028636906,0.00035649398,0.0006757384,0.00016582735],"domain_scores_gemma":[0.9981652,0.00036506428,0.00016697423,0.00022959909,0.00093126367,0.00014188244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005694158,0.000082106315,0.0001405954,0.00034789412,0.00027160565,0.00055812596,0.0009441509,0.000040426643,0.0000013740878],"category_scores_gemma":[0.0006893903,0.00006465558,0.000039928967,0.0010254976,0.00010974659,0.0025623976,0.00023105435,0.0002562702,6.3870755e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010816069,0.000034268047,0.001603775,0.00013698763,0.00006376032,0.0000049505647,0.00033408156,0.71179277,0.00029031848,0.08561539,0.016434811,0.18367808],"study_design_scores_gemma":[0.000079152764,0.00008956794,0.0048652417,0.000035464538,0.000028448236,0.00012502565,0.0000090736885,0.93658555,0.000019069865,0.05407862,0.004027108,0.00005770786],"about_ca_topic_score_codex":0.000007741677,"about_ca_topic_score_gemma":0.0000025914087,"teacher_disagreement_score":0.22479276,"about_ca_system_score_codex":0.00010325979,"about_ca_system_score_gemma":0.0012945797,"threshold_uncertainty_score":0.53820217},"labels":[],"label_agreement":null}]}