{"id":"W7021064856","doi":"","title":"Montréal, le mercure sous zéro : \\n Couche avec moi (c’est l’hiver)\\n","year":2007,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Mercury (programming language); MERCURE","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":[0.0005970582,0.0004520771,0.0003009103,0.0008387675,0.01603219,0.006028937,0.0009690967,0.001608377,0.04101069],"category_scores_gemma":[0.001546468,0.0003234908,0.0002748865,0.001558279,0.005707766,0.002513344,0.001788123,0.003236645,0.001861286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04723186,"about_ca_system_score_gemma":0.04354796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.975722,"about_ca_topic_score_gemma":0.9929811,"domain_scores_codex":[0.9990979,0.0001299209,0.0000197579,0.0001360037,0.0002503839,0.0003659699],"domain_scores_gemma":[0.9994554,0.00005867834,0.00004095002,0.00003544152,0.0002124274,0.0001970443],"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":[0.00005648172,0.00001655953,0.002824082,0.00009796624,0.00001630695,0.0003458394,0.01922784,0.00009193594,0.0004879262,0.6524597,0.2853357,0.03903961],"study_design_scores_gemma":[0.000006009202,0.000005582942,0.008080271,0.00006423124,0.000006346164,0.00007112836,0.004194971,0.00002916172,0.0001772534,0.005115567,0.982227,0.00002238962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04436479,0.02420294,0.001482343,0.0976719,0.003594629,0.00005210869,0.00208074,0.0002367217,0.8263139],"genre_scores_gemma":[0.289285,0.005114214,0.001018848,0.004050456,0.0003091371,0.00002729522,0.0003189196,0.000130886,0.6997453],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04723186,"threshold_uncertainty_score":0.3426927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005008274424313766,"score_gpt":0.158809681782558,"score_spread":0.1538014073582442,"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."}}