{"id":"W7061838601","doi":"","title":"Solutions: L’affaire de tout le monde","year":2023,"lang":"fr","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Nursing homes; Poison control; Canadian studies","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":[0.005244884,0.000928748,0.0007398514,0.001096334,0.01469064,0.009594542,0.002319971,0.005938549,0.04029057],"category_scores_gemma":[0.01080937,0.0005676386,0.001111331,0.001100917,0.006843733,0.007803858,0.01166441,0.006300432,0.00786979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01135266,"about_ca_system_score_gemma":0.02561942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.13405,"about_ca_topic_score_gemma":0.2779112,"domain_scores_codex":[0.9942685,0.002137947,0.0002601112,0.0006516458,0.001370935,0.00131068],"domain_scores_gemma":[0.9936396,0.0006309443,0.0007026864,0.0004074312,0.00220772,0.002411634],"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":[0.0001321576,0.000214226,0.01766943,0.001648638,0.0001273927,0.001888622,0.1125882,0.0004371471,0.0018503,0.09202134,0.5132924,0.2581301],"study_design_scores_gemma":[0.00001782582,0.00008472669,0.005621228,0.001078205,0.00003005419,0.0005041059,0.06385893,0.0002223684,0.0002976807,0.01230511,0.9159324,0.00004733937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.05850505,0.0242975,0.02278806,0.5507326,0.01081367,0.0004113675,0.0009368066,0.0008143813,0.3307005],"genre_scores_gemma":[0.4321821,0.02805642,0.03791536,0.08212444,0.001852465,0.0006077296,0.001219926,0.0005825714,0.4154589],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.13405,"threshold_uncertainty_score":0.2665395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416681563371212,"score_gpt":0.2181457801958483,"score_spread":0.2039789645621362,"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."}}