{"id":"W2471756423","doi":"10.7202/1033301ar","title":"RÉFLEXES : un inventaire informatisé de la « littérature grise » du réseau de la santé et des services sociaux de la région de Montréal-Centre","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01127803,0.0005115742,0.0005132683,0.001175889,0.00028908,0.002494557,0.0003233102,0.0007521444,0.001283873],"category_scores_gemma":[0.004902584,0.0005285212,0.0002263256,0.002340403,0.0005235669,0.01010316,0.0002053391,0.001105732,0.0001035447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584513,"about_ca_system_score_gemma":0.002725447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721118,"about_ca_topic_score_gemma":0.004218704,"domain_scores_codex":[0.989635,0.006830371,0.001418043,0.0004171692,0.0008094096,0.0008900391],"domain_scores_gemma":[0.9912931,0.00609414,0.0009081091,0.0003546586,0.0005544183,0.0007956302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001028942,0.001278291,0.5577183,0.001528546,0.0005940383,0.0003633687,0.1074302,0.001275177,0.001906189,0.01972418,0.2059411,0.1012116],"study_design_scores_gemma":[0.01577192,0.0008156396,0.3461835,0.002739848,0.002020749,0.001396574,0.1587067,0.01113378,0.006194996,0.1853543,0.2684163,0.001265749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843978,0.0597848,0.01907238,0.06055917,0.0006379995,0.001313776,0.0002457078,0.0005408108,0.01386738],"genre_scores_gemma":[0.788066,0.1579344,0.0305355,0.02075281,0.00105857,0.00009354393,0.0007295256,0.0001163631,0.0007132778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2115348,"threshold_uncertainty_score":0.9997166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017247733949118,"score_gpt":0.4504534992734451,"score_spread":0.4002810219339539,"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."}}