{"id":"W7030240536","doi":"","title":"Montréal monochrome V : atterrissage d'urgence","year":2017,"lang":"fr","type":"book","venue":"E-Artexte (Artexte)","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Monochrome; Photography; Feature (linguistics); Visualization","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003112295,0.002182237,0.002609083,0.0006984856,0.004517122,0.0004599491,0.003173374,0.002260516,0.03984505],"category_scores_gemma":[0.0004749334,0.002272327,0.001176854,0.0002558702,0.001200713,0.00127524,0.002520356,0.004081742,0.1676511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245176,"about_ca_system_score_gemma":0.001834134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550604,"about_ca_topic_score_gemma":0.003152633,"domain_scores_codex":[0.9867916,0.002554611,0.002717843,0.002732923,0.001649752,0.003553243],"domain_scores_gemma":[0.9887034,0.001097938,0.002421283,0.005734786,0.0003964731,0.00164607],"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":[0.0004658888,0.0005621094,0.000143982,0.002039756,0.0007063278,0.001453545,0.009867064,0.00001630931,0.0001370402,0.02170182,0.8581491,0.1047571],"study_design_scores_gemma":[0.002326572,0.000496013,0.008204957,0.005166231,0.0007675977,0.00004338763,0.001893095,0.0002477888,0.00001229501,0.006101344,0.9726566,0.002084124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008851988,0.01315894,0.003419502,0.01504895,0.01464267,0.005988232,0.0009284263,0.0005715512,0.9373897],"genre_scores_gemma":[0.02855846,0.003585863,0.0005613937,0.005920768,0.00348888,0.000779313,0.000506664,0.0004942809,0.9561044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1278061,"threshold_uncertainty_score":0.9990918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.061756953453387,"score_gpt":0.3679395364559787,"score_spread":0.3061825830025917,"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."}}