{"id":"W3095748209","doi":"10.2139/ssrn.3708975","title":"Proximate Causation in Legal HIstoriography","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proximate and ultimate causation; Historiography; Causation; Law; Political science; History; Philosophy","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":[0.00751409,0.0002836401,0.0005148525,0.007411154,0.003757332,0.004880732,0.001101861,0.002503383,0.02140865],"category_scores_gemma":[0.03675434,0.0005609385,0.0002940844,0.007311681,0.01256472,0.007429877,0.00281347,0.002520055,0.000942246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00288215,"about_ca_system_score_gemma":0.003431562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004959654,"about_ca_topic_score_gemma":0.005737034,"domain_scores_codex":[0.9972546,0.001535249,0.0001232603,0.0005151822,0.0003693642,0.0002023891],"domain_scores_gemma":[0.9690535,0.02455665,0.002457947,0.001874583,0.001484875,0.0005724259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001134615,0.00001763941,0.004769486,0.00005727249,0.00001473235,0.00008570947,0.002395953,0.0002951315,0.00001961093,0.9850154,0.001115336,0.006202432],"study_design_scores_gemma":[0.00001317745,0.00001361383,0.004419965,0.0001420036,0.00002333091,0.00008272393,0.002640437,0.0006564381,0.0001238297,0.9775022,0.01437468,0.00000762701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3522482,0.03976779,0.07213996,0.09779178,0.001196226,0.0002160159,0.001232239,0.0002483672,0.4351594],"genre_scores_gemma":[0.9802405,0.004967626,0.002191151,0.0008916606,0.0004325741,0.00004212425,0.000134332,0.0000391429,0.01106077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02140865,"threshold_uncertainty_score":0.07161903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572380231030005,"score_gpt":0.2612918295605294,"score_spread":0.2455680272502294,"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."}}