{"id":"W7113405480","doi":"","title":"犯罪および犯罪抑制の変容 -グローバル化したリスク社会および情報社会におけるパラダイムシフト-","year":2020,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Theratechnologies (Canada)","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004765902,0.0004571575,0.0007591752,0.004717118,0.002390877,0.01143525,0.001076729,0.001169243,0.1131723],"category_scores_gemma":[0.01174625,0.0005661934,0.0005549566,0.007867653,0.001795431,0.006991593,0.00168495,0.001592815,0.05380033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003682973,"about_ca_system_score_gemma":0.00778163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0157038,"about_ca_topic_score_gemma":0.01384116,"domain_scores_codex":[0.996556,0.0004457926,0.0003719215,0.0005731059,0.001794298,0.0002587987],"domain_scores_gemma":[0.9892098,0.001865462,0.001042576,0.001658866,0.005320706,0.0009026225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005170605,0.000231542,0.02436708,0.000537636,0.00007195556,0.0002696647,0.001374428,0.0008722967,0.002363703,0.2200991,0.3683759,0.3809197],"study_design_scores_gemma":[0.00005462033,0.00005454283,0.01772254,0.0002129083,0.00009764504,0.000253994,0.001472618,0.001583023,0.007088848,0.05139868,0.9199818,0.00007881727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02744734,0.005236585,0.033592,0.01420157,0.002833182,0.0004727074,0.03652304,0.003476095,0.8762174],"genre_scores_gemma":[0.2930773,0.01082143,0.05758099,0.003909371,0.002211101,0.0003582217,0.04261991,0.001895185,0.5875265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1131723,"threshold_uncertainty_score":0.3785989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05740894676405506,"score_gpt":0.2230042747387704,"score_spread":0.1655953279747153,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}