{"id":"W4381383457","doi":"10.1684/sss.2023.0246","title":"La télésurveillance : technologie de rupture et mutation de l’organisation des soins","year":2023,"lang":"fr","type":"article","venue":"Sciences sociales et santé","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Medicine; Philosophy","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":[0.009947848,0.0009299975,0.0005573369,0.003869505,0.001141281,0.009246016,0.00182719,0.003440941,0.005142533],"category_scores_gemma":[0.05096243,0.0005179733,0.0009465195,0.002438676,0.00258647,0.007778861,0.003109523,0.002464422,0.001530204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002668568,"about_ca_system_score_gemma":0.004069821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006364505,"about_ca_topic_score_gemma":0.002573764,"domain_scores_codex":[0.9905204,0.004329871,0.0004597569,0.0009829239,0.003328036,0.0003789488],"domain_scores_gemma":[0.9548315,0.02778616,0.004929509,0.004493963,0.006863213,0.001095695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003804441,0.0004347486,0.1105137,0.001293691,0.0003562464,0.001629604,0.01399013,0.01028071,0.01050987,0.1799481,0.02311379,0.6475491],"study_design_scores_gemma":[0.0001709414,0.001225372,0.1235095,0.003243707,0.0004769466,0.009397018,0.02014062,0.122356,0.03266524,0.2867041,0.3995067,0.000603897],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3452147,0.01667811,0.4844796,0.07069639,0.003172886,0.0004847664,0.002152329,0.003231718,0.07388955],"genre_scores_gemma":[0.8144134,0.008146456,0.1588238,0.00286123,0.001514612,0.0003851853,0.001028656,0.000300094,0.01252643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009947848,"threshold_uncertainty_score":0.05260992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3233682174610625,"score_gpt":0.5619593686460499,"score_spread":0.2385911511849874,"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."}}