{"id":"W4405516417","doi":"10.1093/jcsl/krae014","title":"Taking stock after a quarter of a century","year":2024,"lang":"en","type":"article","venue":"Journal of Conflict and Security Law","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stock (firearms); Law; Political science; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432613,0.00006264989,0.0002166767,0.00009721628,0.00001774688,0.0000112978,0.00003279014,0.0006665593,0.0001787516],"category_scores_gemma":[0.000008694062,0.00004138343,0.0001042072,0.00006944282,0.0001240246,0.00006113604,0.00001301205,0.001290992,0.000002040617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006394589,"about_ca_system_score_gemma":0.00003223979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008054141,"about_ca_topic_score_gemma":0.000004108826,"domain_scores_codex":[0.9994962,0.00001358123,0.0002440282,0.00005825135,0.0001030781,0.00008487761],"domain_scores_gemma":[0.9997028,0.0000291754,0.00008716908,0.00006527295,0.00006010069,0.00005546135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006691111,0.001139543,0.009279056,0.004899011,0.005127713,0.00998255,0.08595562,0.000001131695,0.03610416,0.76794,0.01377481,0.05910533],"study_design_scores_gemma":[0.002196783,0.001735498,0.005078593,0.002590861,0.0006985138,0.006636035,0.0007112755,0.000361391,0.007743764,0.002535606,0.9695207,0.0001909235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401528,0.03973323,0.00007200027,0.01192606,0.0004257998,0.00007919264,0.000003117727,0.00001908818,0.007588726],"genre_scores_gemma":[0.9970855,0.002180258,0.00005577693,0.000501706,0.000114556,4.728502e-7,3.400144e-7,0.00000480956,0.00005661834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9557459,"threshold_uncertainty_score":0.5608791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009173874807421968,"score_gpt":0.2671926427146878,"score_spread":0.2580187679072659,"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."}}