{"id":"W4287629522","doi":"10.5281/zenodo.4148217","title":"SANS LAISSER DE TRACES : LES CONSÉQUENCES DE LA MAUVAISE RÉGLEMENTATION DES PRODUITS DE LA MER AU CANADA","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"cons; Humanities; Political science; Philosophy; Computer science; Programming language","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":[0.001836665,0.0005075615,0.0004797333,0.002054623,0.01404251,0.008683104,0.002464957,0.001990603,0.01541505],"category_scores_gemma":[0.007291724,0.0005615475,0.0006377304,0.004232994,0.005473242,0.003006576,0.002953478,0.002756686,0.001410316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0560073,"about_ca_system_score_gemma":0.07440453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856851,"about_ca_topic_score_gemma":0.990581,"domain_scores_codex":[0.9960686,0.0003533091,0.00009998372,0.0004505075,0.002081198,0.0009464431],"domain_scores_gemma":[0.9901255,0.0007295134,0.0008597417,0.0005527225,0.00690677,0.0008257409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001092923,0.0002259297,0.2761661,0.0010065,0.0003802548,0.007447397,0.04248466,0.01580119,0.01258959,0.219227,0.1525597,0.2710188],"study_design_scores_gemma":[0.00007822774,0.0002814656,0.1803337,0.001184698,0.0003589948,0.001687252,0.08981505,0.01088905,0.01197862,0.02473688,0.6781997,0.0004563587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6409042,0.006571253,0.01038515,0.07199981,0.0007830225,0.0001871453,0.006033169,0.000739145,0.262397],"genre_scores_gemma":[0.886628,0.003547103,0.003709923,0.005161433,0.00006082075,0.00003900818,0.001074819,0.0002416401,0.09953728],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0560073,"threshold_uncertainty_score":0.4063632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153172115764144,"score_gpt":0.2660719804936143,"score_spread":0.2345402593359729,"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."}}