{"id":"W3122092797","doi":"10.7202/1087019ar","title":"L’ÉCONOMIE DE LA PREUVE JUDICIAIRE","year":2020,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002832647,0.0008400877,0.001325888,0.001456799,0.001681463,0.006775121,0.001999516,0.004313043,0.01771006],"category_scores_gemma":[0.01229062,0.001085617,0.001446057,0.001499951,0.003646876,0.007165624,0.002431185,0.005193983,0.002030879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005145124,"about_ca_system_score_gemma":0.004819076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241539,"about_ca_topic_score_gemma":0.008182045,"domain_scores_codex":[0.9973335,0.0008294107,0.000094524,0.0004310849,0.0009109734,0.0004005073],"domain_scores_gemma":[0.9937121,0.004389142,0.0005590171,0.0004884253,0.0005689787,0.0002824441],"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":[0.00002866756,0.00005173441,0.0015879,0.00006694087,0.00002864384,0.0001440681,0.0002630815,0.04956333,0.0003021873,0.9386547,0.001707306,0.007601417],"study_design_scores_gemma":[0.00004903389,0.00008964913,0.002928631,0.0001114929,0.00003757918,0.0003288019,0.0002171329,0.1271568,0.0003945457,0.8435857,0.02505,0.0000506071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1415985,0.008040085,0.5758342,0.02784626,0.000630332,0.0003179065,0.0009655117,0.0003015642,0.2444656],"genre_scores_gemma":[0.8838139,0.006226542,0.02621725,0.0007950895,0.0006734433,0.0002600573,0.0002503552,0.00009759303,0.08166574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771006,"threshold_uncertainty_score":0.05924606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154550260770192,"score_gpt":0.2316353962501138,"score_spread":0.1800898936424119,"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."}}