{"id":"W7058543505","doi":"","title":"\\n Le Rouge idéal\\n : Un polar québécois qui frappe dans le mille","year":2006,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gloom; Focus (optics); Feature (linguistics)","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":[0.0004797084,0.0008341952,0.0004733909,0.0009218121,0.00644685,0.003410837,0.000537431,0.002048398,0.01937325],"category_scores_gemma":[0.0009990685,0.0003848736,0.0002846086,0.0006904418,0.004232118,0.00202237,0.001051815,0.00302285,0.002397927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00699004,"about_ca_system_score_gemma":0.00406349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3293133,"about_ca_topic_score_gemma":0.3611448,"domain_scores_codex":[0.9996029,0.00005348192,0.000005864422,0.00008355872,0.000165851,0.00008837217],"domain_scores_gemma":[0.9997836,0.00004306285,0.00001311838,0.00001323505,0.00009437833,0.00005266393],"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":[0.0005609452,0.00003510575,0.001767225,0.0001410678,0.00001845129,0.002387094,0.00325799,0.002492356,0.01580708,0.8517549,0.06056586,0.06121175],"study_design_scores_gemma":[0.00006234022,0.0001098649,0.003182263,0.0001263995,0.00001520271,0.001680627,0.003002228,0.005281649,0.01251623,0.03786558,0.9360037,0.0001540489],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1717892,0.006168224,0.05288924,0.02636347,0.008600897,0.0001644242,0.0008041525,0.001211523,0.7320088],"genre_scores_gemma":[0.5127987,0.002418256,0.02175154,0.001829085,0.0004499995,0.00005271522,0.0002205147,0.0003502433,0.460129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6706867,"threshold_uncertainty_score":0.6547929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00167759151308669,"score_gpt":0.1251131439181742,"score_spread":0.1234355524050875,"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."}}