{"meta":{"query_hash":"1b88842cd12a","filters":{"venue":"International Journal of Technology Policy and Management"},"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/1b88842cd12a","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Technology+Policy+and+Management"},"results":[{"id":"W1970478488","doi":"10.1504/ijtpm.2005.007520","title":"Exchanging experiences in transport infrastructure policies between Denmark and the Netherlands","year":2005,"lang":"en","type":"article","venue":"International Journal of Technology Policy and Management","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Benchmarking; Transport policy; Business; Public economics; Field (mathematics); Cultural exchange; Transport infrastructure; Political science; Economics; Marketing; Sociology; Public transport; Law; Transport engineering; Engineering","score_opus":0.009721649928841903,"score_gpt":0.3008384091567632,"score_spread":0.2911167592279213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970478488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9491823,0.0014566825,0.0007583748,0.0029317446,0.00009855485,0.000024314717,0.00007360518,0.0000044982294,0.045469977],"genre_scores_gemma":[0.9946279,0.00060507655,0.00018820578,0.00021246099,0.00000558807,0.000012740512,0.000029428798,0.000008607913,0.0043100044],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9919335,0.004968437,0.0004369248,0.00057191786,0.0007559589,0.001333308],"domain_scores_gemma":[0.9975949,0.0013791419,0.00033805723,0.00012137432,0.00015738823,0.00040914837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005312853,0.0002522014,0.0005343764,0.0006224289,0.0053795823,0.00924713,0.0008263687,0.0020532364,0.0015383024],"category_scores_gemma":[0.008494001,0.00031996437,0.00032245927,0.0013944953,0.005154992,0.004699728,0.0060565514,0.0017119265,0.00014868144],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028355164,0.00017392922,0.01367814,0.00024100635,0.00007133842,0.0041582296,0.83463395,0.0043881643,0.0016848423,0.117208354,0.004238129,0.019240309],"study_design_scores_gemma":[0.000033143806,0.00008396871,0.012216129,0.0002738792,0.000026617985,0.00043547025,0.81513447,0.000906333,0.0010647889,0.0061453274,0.16361037,0.0000695232],"about_ca_topic_score_codex":0.08132238,"about_ca_topic_score_gemma":0.08529769,"teacher_disagreement_score":0.08132238,"about_ca_system_score_codex":0.01340388,"about_ca_system_score_gemma":0.00799963,"threshold_uncertainty_score":0.16169804},"labels":[],"label_agreement":null},{"id":"W2107362206","doi":"10.1504/ijtpm.2013.053085","title":"Innovative financing for commercialisation of technology","year":2013,"lang":"en","type":"article","venue":"International Journal of Technology Policy and Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Finance; Business; Technology transfer; Government (linguistics); Political science; International trade","score_opus":0.025663790958133717,"score_gpt":0.2661262198842162,"score_spread":0.2404624289260825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107362206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5982512,0.005801787,0.01753423,0.012054192,0.00017859967,0.0003845052,0.0014959994,0.00023892304,0.36406055],"genre_scores_gemma":[0.9849584,0.0011161475,0.0010231328,0.00015875883,0.00012540509,0.000088923494,0.00032694338,0.000010315694,0.012192085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775106,0.0006245579,0.00013905873,0.0001623685,0.00061774446,0.0007052505],"domain_scores_gemma":[0.98541343,0.0053922785,0.0047560083,0.0006931728,0.0022367153,0.0015082719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555346,0.0002595873,0.00026329656,0.002247228,0.00096931926,0.0053072013,0.0006104349,0.0014521304,0.01352067],"category_scores_gemma":[0.01640161,0.00021481748,0.00031042105,0.0021942088,0.0013030365,0.003126297,0.0018355673,0.0014993807,0.0007888595],"study_design_candidate":"not_applicable","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":[0.00021262682,0.0002467246,0.11180455,0.0005261521,0.000071222225,0.0011079925,0.0013659874,0.009912776,0.0012451407,0.729033,0.011771422,0.13270241],"study_design_scores_gemma":[0.00054312753,0.0005673672,0.27397314,0.0018128196,0.00023496551,0.003178527,0.003812287,0.046349358,0.006994108,0.35649595,0.30589667,0.00014173538],"about_ca_topic_score_codex":0.00561884,"about_ca_topic_score_gemma":0.0037301322,"teacher_disagreement_score":0.01352067,"about_ca_system_score_codex":0.0051811086,"about_ca_system_score_gemma":0.007788325,"threshold_uncertainty_score":0.045231104},"labels":[],"label_agreement":null},{"id":"W7116983584","doi":"10.1504/ijtpm.2025.150713","title":"Evaluating technological impacts on stock market behaviour: a machine learning and NLP approach to socio-economic analysis","year":2025,"lang":"en","type":"article","venue":"International Journal of Technology Policy and Management","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Stock market; Social media; Support vector machine; Sentiment analysis; Stock (firearms); Logistic regression; Random forest","score_opus":0.09087331840740648,"score_gpt":0.47756245968801475,"score_spread":0.3866891412806083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116983584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8972859,0.00070648704,0.08562814,0.0025196543,0.000058899557,0.0004428725,0.0017608382,0.00017305599,0.011424115],"genre_scores_gemma":[0.97187155,0.00037118743,0.02594457,0.00007771553,0.00005980039,0.00017647845,0.00062255963,0.000009426687,0.00086681696],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999171,0.0003926015,0.00006884321,0.00010104745,0.00020098254,0.00006554766],"domain_scores_gemma":[0.994831,0.0041291355,0.0005335023,0.00010935482,0.00032011894,0.00007684884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001736626,0.00050880766,0.00047131584,0.0034931076,0.00053446996,0.0016984466,0.00049430656,0.0008648319,0.0018154761],"category_scores_gemma":[0.0074143545,0.00017140622,0.0006479158,0.0026906892,0.0005010911,0.0020272667,0.0006477513,0.00080116425,0.00030675504],"study_design_candidate":"simulation_or_modeling","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":[0.0003065127,0.0018663901,0.4873753,0.0006802564,0.0006839888,0.0008807186,0.0021517163,0.1851475,0.005893926,0.027820293,0.003970071,0.28322336],"study_design_scores_gemma":[0.000012776754,0.00023140843,0.09633579,0.00007005041,0.00007853845,0.00006679573,0.0017158875,0.8847395,0.0010748261,0.014191637,0.0014445549,0.000038161263],"about_ca_topic_score_codex":0.008612436,"about_ca_topic_score_gemma":0.006911735,"teacher_disagreement_score":0.008612436,"about_ca_system_score_codex":0.0011767969,"about_ca_system_score_gemma":0.0006805203,"threshold_uncertainty_score":0.017124593},"labels":[],"label_agreement":null}]}