{"id":"W2608718183","doi":"","title":"Une revue de certaines décisions d’intérêt rendues en 2016 par la Commission des oppositions du Canada : leçons à tirer en quatre thèmes","year":2017,"lang":"fr","type":"article","venue":"Les Cahiers de propriété intellectuelle","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001654769,0.0004549583,0.0005147626,0.000108344,0.007428171,0.0004827285,0.00152573,0.0007259583,0.001586739],"category_scores_gemma":[0.006214812,0.0004284409,0.0002849324,0.0003498825,0.003822757,0.0005203878,0.0003326059,0.001126788,0.00008094879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983502,"about_ca_system_score_gemma":0.002983208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8194538,"about_ca_topic_score_gemma":0.788887,"domain_scores_codex":[0.9956836,0.001608333,0.0005292664,0.0005962427,0.0004767396,0.001105888],"domain_scores_gemma":[0.9945147,0.003387028,0.0003134616,0.0008133004,0.0002824321,0.0006890755],"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":[0.0003220216,0.0005266596,0.01074268,0.0006028719,0.0003050207,0.0006496204,0.1528509,0.0002919201,0.001991635,0.1079012,0.5642565,0.1595589],"study_design_scores_gemma":[0.0003239833,0.0002201273,0.005024686,0.0016905,0.0003295782,0.0001888948,0.02003729,0.001376291,0.002405914,0.02793161,0.939721,0.0007501123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3928816,0.01247591,0.005451643,0.2970142,0.002299672,0.0009350734,0.0001848841,0.0001923306,0.2885646],"genre_scores_gemma":[0.8574343,0.008172201,0.002775439,0.0002670276,0.0008531279,0.00005559528,0.00001681219,0.00005313248,0.1303724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4645526,"threshold_uncertainty_score":0.9998167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236470386878816,"score_gpt":0.2912382480262077,"score_spread":0.2675912093383261,"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."}}