{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005563876,0.0008452034,0.0006564324,0.0005065802,0.002780982,0.0002675836,0.0009068887,0.0009366234,0.0001451218],"category_scores_gemma":[0.0004177037,0.001089697,0.0004565133,0.002019338,0.001537217,0.001088635,0.0004737753,0.001122446,0.0008739154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002810037,"about_ca_system_score_gemma":0.002400721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003787194,"about_ca_topic_score_gemma":0.0000954877,"domain_scores_codex":[0.9950969,0.0002193404,0.001082945,0.001008793,0.0008487444,0.001743254],"domain_scores_gemma":[0.9976905,0.0002475498,0.0002231079,0.001108637,0.0002867532,0.000443445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005790433,0.000175514,0.0004939727,0.0003408008,0.0003349786,0.001082086,0.0007180388,0.7356617,0.03751683,0.1335769,0.0821927,0.007848614],"study_design_scores_gemma":[0.001189188,0.0001456975,0.00134723,0.0004625381,0.0001100759,0.001115106,0.004195157,0.1028086,0.03671683,0.006223631,0.8442574,0.001428591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3962593,0.04875753,0.3332943,0.02197789,0.03067026,0.002750335,0.0009657486,0.01747135,0.1478533],"genre_scores_gemma":[0.8262923,0.00106226,0.01919196,0.0002019182,0.002144986,0.0005334556,0.0001177937,0.0002641675,0.1501911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7620647,"threshold_uncertainty_score":0.999904,"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."}}