{"id":"W7161229912","doi":"10.7202/1125044ar","title":"Law School Success: A Matter of Heart","year":2024,"lang":"fr","type":"article","venue":"Ottawa Law Review","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acronym; Key (lock); Word (group theory); Subject matter; Free speech","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005872302,0.0002335261,0.0008965497,0.003109999,0.009102951,0.01347729,0.001413652,0.002691424,0.009339698],"category_scores_gemma":[0.02156983,0.0004479516,0.0003268578,0.003130764,0.0124068,0.004848984,0.0036775,0.007187953,0.002587535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02761605,"about_ca_system_score_gemma":0.03384384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3892471,"about_ca_topic_score_gemma":0.6161626,"domain_scores_codex":[0.9893532,0.002213486,0.0004206138,0.0009113043,0.003910402,0.003190999],"domain_scores_gemma":[0.9664862,0.005304307,0.002538606,0.000843545,0.01202472,0.01280274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004634244,0.00009359066,0.02433012,0.0003727984,0.00008361552,0.0001964773,0.005643531,0.00008847162,0.00005981268,0.1116523,0.7807521,0.07668078],"study_design_scores_gemma":[0.00002057694,0.00005223851,0.09727956,0.001741966,0.00006826129,0.00009952477,0.01342063,0.00005462044,0.0001206619,0.01031045,0.8767751,0.00005648486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03782646,0.1491817,0.000267093,0.6289467,0.004580439,0.00005834144,0.000769358,0.00007110638,0.1782988],"genre_scores_gemma":[0.7660605,0.09239615,0.0001907521,0.0772559,0.00303955,0.00005235579,0.0005769221,0.0001224741,0.06030544],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3892471,"threshold_uncertainty_score":0.773963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898306406084241,"score_gpt":0.3490482083549449,"score_spread":0.3000651442941025,"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."}}