{"id":"W2811049784","doi":"10.7202/1046151ar","title":"LA DIFFUSION DU DROIT CANADIEN SUR INTERNET","year":2018,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001212044,0.0002447188,0.0003263591,0.00007365707,0.0005498821,0.0001437075,0.0006966701,0.0004281987,0.004724721],"category_scores_gemma":[0.001096608,0.0002808335,0.0001619937,0.000486247,0.001960838,0.0004009772,0.0002277865,0.0003184287,0.003985677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390134,"about_ca_system_score_gemma":0.0004211867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5358233,"about_ca_topic_score_gemma":0.7332734,"domain_scores_codex":[0.9974439,0.0004744023,0.0004680665,0.0005045178,0.0003122566,0.0007969138],"domain_scores_gemma":[0.9981891,0.0005776752,0.0001999201,0.0003768358,0.000286373,0.000370093],"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":[0.00004534702,0.0002489485,0.04449231,0.00005617279,0.00005626159,0.000183876,0.1193875,0.00002095243,0.0001173852,0.7295048,0.01558028,0.09030616],"study_design_scores_gemma":[0.00009642525,0.0001903898,0.003813289,0.0002820408,0.00006526024,0.00004189894,0.002299294,0.007020175,0.0003384999,0.008302915,0.9771501,0.0003997446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608765,0.0003206381,0.001150199,0.014018,0.01154768,0.0002713888,0.0000255588,0.000072549,0.1117175],"genre_scores_gemma":[0.9427621,0.0003060202,0.00016274,0.0003626508,0.009105952,0.00001018477,0.00000682193,0.00003674845,0.04724674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9615698,"threshold_uncertainty_score":0.9999644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897034087318497,"score_gpt":0.2731134235819883,"score_spread":0.2441430827088033,"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."}}