{"id":"W7044127177","doi":"","title":"Utilisation de la vision numérique pour l'estimation d'un coefficient de friction afin d'évaluer un risque de chute dans une application d'assistance aux personnes","year":2022,"lang":"fr","type":"other","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Navigational aid; Coefficient of friction; Automobile insurance; High speed train","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":[0.0005619196,0.001085507,0.0008502671,0.0008522186,0.0004552871,0.001404551,0.0008039579,0.001430262,0.00284742],"category_scores_gemma":[0.001771073,0.0005968007,0.0008674923,0.0005152262,0.0004382655,0.001024602,0.0005907321,0.0008118714,0.0008001633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072463,"about_ca_system_score_gemma":0.00128173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801782,"about_ca_topic_score_gemma":0.01682564,"domain_scores_codex":[0.9995337,0.00004877724,0.00002097305,0.0001355881,0.0001968967,0.00006422124],"domain_scores_gemma":[0.9994906,0.0001438325,0.0000464248,0.0000422676,0.0002513227,0.00002551333],"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":[0.0004246288,0.0001533545,0.005087958,0.0006544876,0.000155815,0.0003473389,0.000536055,0.267206,0.1634678,0.005230758,0.002978404,0.5537574],"study_design_scores_gemma":[0.00001996746,0.0001936691,0.003944969,0.00007438422,0.00005469298,0.0001947283,0.0001085694,0.9485026,0.03842291,0.001387166,0.007040758,0.00005561279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05825967,0.001061805,0.9338404,0.0001975794,0.0001551354,0.00008082238,0.0001062025,0.001368724,0.004929739],"genre_scores_gemma":[0.6592987,0.001387043,0.3252342,0.0001520861,0.00005452204,0.0001847434,0.000241289,0.0001949649,0.01325252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01801782,"threshold_uncertainty_score":0.03582591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006142141553470014,"score_gpt":0.2087803741132142,"score_spread":0.2026382325597442,"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."}}