{"id":"W7046301780","doi":"","title":"Détection de chute à l'aide d'une caméra de profondeur","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silhouette; Video recording; Western europe","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001734272,0.0006668596,0.0005595152,0.001072397,0.001624453,0.00381062,0.00123082,0.001268583,0.05407375],"category_scores_gemma":[0.005793192,0.0003646963,0.0008081348,0.001361049,0.0007212342,0.002535128,0.002179281,0.001755179,0.01300089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558023,"about_ca_system_score_gemma":0.00594638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03829471,"about_ca_topic_score_gemma":0.06030552,"domain_scores_codex":[0.9981323,0.0005334987,0.00006965607,0.0003065265,0.0006259989,0.0003320827],"domain_scores_gemma":[0.9957972,0.001036607,0.0005071611,0.0003799443,0.001573874,0.0007054181],"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":[0.0006163888,0.0007387518,0.05534044,0.001733087,0.00008694614,0.001194742,0.006791509,0.00215709,0.009098697,0.0157972,0.1041278,0.8023174],"study_design_scores_gemma":[0.00009060533,0.001344087,0.1633915,0.002259535,0.0001714467,0.00338997,0.01583475,0.01316627,0.01214634,0.006063436,0.7819196,0.0002223801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.417274,0.01699529,0.09290297,0.02135509,0.002608771,0.000824672,0.006510849,0.005261483,0.436267],"genre_scores_gemma":[0.6242274,0.01762743,0.06685434,0.002767081,0.0004224005,0.0005793016,0.008167402,0.0008761395,0.2784786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05407375,"threshold_uncertainty_score":0.1808947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003202639828802401,"score_gpt":0.1504570358802002,"score_spread":0.1472543960513978,"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."}}