{"id":"W6945253457","doi":"10.25318/3510011701-fra","title":"Causes inactives devant les tribunaux civils, selon le nombre d'années financières depuis l'introduction de la cause, Canada et certaines provinces et territoires","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acquiescence; Context (archaeology); Vulnerability (computing); Legislation","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":[0.001798117,0.001633917,0.001802026,0.007892922,0.001583639,0.002988481,0.003013228,0.001764439,0.06471736],"category_scores_gemma":[0.02463457,0.0009292721,0.001606532,0.01992057,0.0005800235,0.001326734,0.001960114,0.002042477,0.03173181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008869993,"about_ca_system_score_gemma":0.0237055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6848117,"about_ca_topic_score_gemma":0.7681221,"domain_scores_codex":[0.9971306,0.000260372,0.0005228058,0.0006569801,0.0009202089,0.0005092229],"domain_scores_gemma":[0.9857384,0.003938084,0.00168477,0.00159743,0.006021986,0.001019337],"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":[0.00004680103,0.000007202761,0.002530196,0.0007637757,0.00004989751,0.00001225045,0.00002386564,0.0001393769,0.00002453454,0.0004784699,0.9942367,0.001686935],"study_design_scores_gemma":[0.0002254967,0.000007853279,0.02086978,0.0008236911,0.00008130036,0.00004253909,0.0001357916,0.0001738543,0.0001423673,0.0007119023,0.9767458,0.0000395503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005730458,0.00005265831,0.00001421529,0.00004368675,0.000009681331,0.000004261291,0.9993955,0.00003441314,0.0003883861],"genre_scores_gemma":[0.0007354635,0.0001494897,0.0001632647,0.00006574837,0.0000100912,0.00007209561,0.9971993,0.0000442215,0.00156037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3151883,"threshold_uncertainty_score":0.6340891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004608094257272551,"score_gpt":0.2954959685936668,"score_spread":0.2908878743363942,"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."}}