{"id":"W3188435693","doi":"","title":"« 9 mois plus tard : vivre et travailler dans l’ESRI » : les résultats de l’enquête NT et Adoc Mètis","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":[0.01369698,0.0006784316,0.0006563725,0.001538164,0.004020649,0.006267169,0.0008811526,0.002470223,0.02976913],"category_scores_gemma":[0.04235218,0.0004940453,0.0009405006,0.00165899,0.001476553,0.002813408,0.003676098,0.004352901,0.02340602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002913259,"about_ca_system_score_gemma":0.005254625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03633131,"about_ca_topic_score_gemma":0.04169592,"domain_scores_codex":[0.984477,0.005978519,0.0007325349,0.001188529,0.005896921,0.001726347],"domain_scores_gemma":[0.9461219,0.01828271,0.002235064,0.003622213,0.02060598,0.009132177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002534663,0.004042139,0.06934524,0.001665095,0.0001727285,0.001765303,0.1647548,0.001076498,0.01170513,0.008254518,0.3003999,0.4342839],"study_design_scores_gemma":[0.0001343358,0.001348878,0.1261627,0.0004709263,0.00008395817,0.0007104994,0.08915064,0.001222759,0.007920261,0.002153976,0.7703827,0.0002583614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80748,0.005115956,0.01293427,0.02769072,0.006909242,0.0007404826,0.00926862,0.003219115,0.1266415],"genre_scores_gemma":[0.696952,0.002633814,0.01465217,0.004934523,0.001420805,0.0006923028,0.008102451,0.002739324,0.2678726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03633131,"threshold_uncertainty_score":0.09958762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05646218108794761,"score_gpt":0.3645227921728603,"score_spread":0.3080606110849127,"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."}}