{"id":"W2900825371","doi":"10.1522/revueot.v16n2-3.513","title":"Attraction et rétention de la main-d’oeuvre : Mesure de la problématique et pistes de solutions","year":2007,"lang":"fr","type":"article","venue":"Revue Organisations & territoires","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Physics; Philosophy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00531162,0.0004532125,0.0007225103,0.001774906,0.003425565,0.00572287,0.002879523,0.002367784,0.01573227],"category_scores_gemma":[0.02272032,0.0003539938,0.0007490056,0.002581173,0.00234237,0.005050374,0.003796104,0.002814771,0.001685076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004550399,"about_ca_system_score_gemma":0.009804117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05846206,"about_ca_topic_score_gemma":0.07054554,"domain_scores_codex":[0.9963143,0.001173445,0.0002054502,0.0003338828,0.0008804873,0.001092403],"domain_scores_gemma":[0.98292,0.007523375,0.002446275,0.0004599839,0.003577881,0.003072559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004659259,0.001128355,0.5153311,0.0009962766,0.0001751164,0.0007665975,0.03890883,0.003269249,0.0008240022,0.01949763,0.009176174,0.4094607],"study_design_scores_gemma":[0.00007984373,0.001291968,0.5007819,0.002024705,0.0002121464,0.001628758,0.373378,0.02088054,0.002244671,0.03408277,0.06320712,0.0001875579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324474,0.002954286,0.008201757,0.02174513,0.0001602848,0.0001674081,0.0004969173,0.00009591715,0.03373093],"genre_scores_gemma":[0.9864006,0.001056346,0.002758074,0.0003856798,0.00005423819,0.00006448166,0.0001686717,0.00002169609,0.009090305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05846206,"threshold_uncertainty_score":0.1162435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230726451524013,"score_gpt":0.3848628801243779,"score_spread":0.3525556156091377,"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."}}