{"id":"W634853484","doi":"10.71781/9724","title":"Vidéosurveillance intelligente pour la détection de chutes chez les personnes âgées","year":2010,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0006322089,0.001080665,0.0008872096,0.001220866,0.0004116349,0.001002993,0.000846794,0.0008731746,0.002161862],"category_scores_gemma":[0.00175161,0.0003776212,0.0007067989,0.0006847212,0.0002369448,0.0009209544,0.000850101,0.0007673151,0.001300201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007615479,"about_ca_system_score_gemma":0.0007770194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03721927,"about_ca_topic_score_gemma":0.04139394,"domain_scores_codex":[0.9994059,0.000106376,0.00002543193,0.0001759252,0.0001899569,0.00009661081],"domain_scores_gemma":[0.9995117,0.0001319942,0.00005090022,0.00004541533,0.0002233948,0.00003656219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009211768,0.0002239479,0.03006629,0.0007430002,0.0002601245,0.0009335437,0.001053732,0.04897163,0.06904518,0.003296539,0.02258729,0.8218975],"study_design_scores_gemma":[0.00006115829,0.0003887326,0.05096345,0.0002518536,0.0001871103,0.001079322,0.001056534,0.8722408,0.03777029,0.002919911,0.03297145,0.0001093895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2070634,0.006126307,0.7559485,0.001313777,0.0004633341,0.0003539577,0.003135776,0.01220004,0.01339491],"genre_scores_gemma":[0.6891034,0.0033677,0.2861571,0.0005150088,0.0001919904,0.0002791608,0.004040751,0.0003479604,0.01599702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03721927,"threshold_uncertainty_score":0.07400531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005522977678270922,"score_gpt":0.1989439759403517,"score_spread":0.1934209982620808,"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."}}