{"id":"W3022342418","doi":"","title":"Meilleurs voeux et évolution du BDD","year":2019,"lang":"fr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Neurological and metabolic disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Directory; Library science; Selection (genetic algorithm); Computer science; Seriousness; Quality (philosophy); Political science; Law; Artificial intelligence","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00254684,0.0006173735,0.001693284,0.0007363828,0.0001985774,0.0006775988,0.002355677,0.0003667603,0.08013804],"category_scores_gemma":[0.001303298,0.0005209977,0.0005484838,0.001346302,0.0004381181,0.002531832,0.001219217,0.001225494,0.001020194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298404,"about_ca_system_score_gemma":0.0004605885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663826,"about_ca_topic_score_gemma":0.00009828732,"domain_scores_codex":[0.9946965,0.0009142145,0.001339853,0.0008433331,0.001199783,0.001006329],"domain_scores_gemma":[0.9961745,0.0006770102,0.001079968,0.0008157776,0.0004789011,0.0007738739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001141967,0.001913869,0.6255881,0.0005370909,0.0006041727,0.0002560314,0.0003019755,0.0006055766,0.06213073,0.006777158,0.2063274,0.09381588],"study_design_scores_gemma":[0.001887903,0.00007796343,0.5714338,0.0006810846,0.0003294088,0.00008068715,0.0001034578,0.0001841345,0.001710553,0.00538177,0.41771,0.0004192433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7356843,0.1701911,0.00019807,0.006401678,0.008280011,0.001151195,0.00008377707,0.00005698919,0.07795291],"genre_scores_gemma":[0.82081,0.1435537,0.0001352169,0.005605642,0.001015846,0.00003718236,0.00002894997,0.00009885179,0.02871465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2113826,"threshold_uncertainty_score":0.9997576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2220491373792461,"score_gpt":0.5396824624863361,"score_spread":0.31763332510709,"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."}}