{"id":"W3152562657","doi":"10.3917/rdna.839.0062","title":"Smart Base RH  : la coopération au service des enjeux RH de demain","year":2021,"lang":"fr","type":"article","venue":"Revue Défense Nationale","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Canada","funders":"","keywords":"Political science; Gynecology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002883221,0.0006291116,0.0004394926,0.0007834734,0.002688132,0.003226452,0.001349292,0.001651968,0.03772137],"category_scores_gemma":[0.004205979,0.0003211266,0.0004396281,0.0007904171,0.001460771,0.003549669,0.006822019,0.001648631,0.01548084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146809,"about_ca_system_score_gemma":0.006650616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02575949,"about_ca_topic_score_gemma":0.02303474,"domain_scores_codex":[0.9978022,0.0006299589,0.00006899054,0.0003291618,0.0007166759,0.000453019],"domain_scores_gemma":[0.9964903,0.0005247288,0.0002233656,0.0005121551,0.0007419441,0.001507456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007926333,0.0004277523,0.01924692,0.0008984509,0.0001038644,0.001647745,0.02381171,0.004012844,0.02093809,0.06565389,0.223426,0.6390402],"study_design_scores_gemma":[0.00005078389,0.0003062634,0.01024364,0.0002648134,0.00003140184,0.0006504446,0.01009242,0.005185498,0.004172277,0.01008606,0.9588293,0.00008705612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2152919,0.004721879,0.2170647,0.03271346,0.002911935,0.001120343,0.00277105,0.01791932,0.5054854],"genre_scores_gemma":[0.5363878,0.002099295,0.1016111,0.003147021,0.0004564707,0.0004145082,0.002188418,0.002024996,0.3516703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03772137,"threshold_uncertainty_score":0.1261905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2129957479490778,"score_gpt":0.4549580775206526,"score_spread":0.2419623295715748,"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."}}