{"id":"W1570165333","doi":"","title":"Reconnaissance d'activités de base à l'aide de réseaux bayésiens dans le cadre d'un habitat intelligent en télésanté","year":2007,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"De La Salle University","keywords":"Humanities; Political science; Philosophy","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":[0.003119531,0.001134686,0.0009406669,0.002277754,0.0009782872,0.003180005,0.001177682,0.001533973,0.005811192],"category_scores_gemma":[0.01713554,0.0005791871,0.0006679504,0.00100275,0.0006355449,0.002206765,0.001158633,0.001396798,0.002304852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024922,"about_ca_system_score_gemma":0.001038181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02692896,"about_ca_topic_score_gemma":0.02526055,"domain_scores_codex":[0.9982857,0.0003868264,0.00008843847,0.0005807752,0.0004241671,0.000234077],"domain_scores_gemma":[0.9928911,0.00430858,0.000643155,0.0004288503,0.001336826,0.0003915421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002200507,0.0003594397,0.2152559,0.0005794138,0.0006046738,0.0007997702,0.004760636,0.08090726,0.02441022,0.006300834,0.008281515,0.65554],"study_design_scores_gemma":[0.0001085433,0.0006395521,0.1852427,0.0004331824,0.0003762739,0.0008588118,0.003469296,0.7653186,0.01431427,0.01432279,0.01464867,0.0002672567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7581659,0.003548666,0.1981149,0.001639169,0.0006424453,0.000249515,0.001353326,0.002664007,0.03362206],"genre_scores_gemma":[0.9553109,0.0003870765,0.03787377,0.0001564747,0.00007380688,0.00008013091,0.0005772304,0.0001335836,0.005407037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02692896,"threshold_uncertainty_score":0.05354446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044491834396523,"score_gpt":0.2103640386555087,"score_spread":0.1899191203115434,"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."}}