{"id":"W4392184307","doi":"","title":"Autonomous security system for meal preparation for cognitively impaired people in a smart home","year":2017,"lang":"fr","type":"dissertation","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meal; Meal preparation; Computer science; Human–computer interaction; Communication; Psychology; Food science; Biology","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":[0.0003611062,0.0009020009,0.0007986797,0.0005945031,0.0006228678,0.0008222571,0.001142783,0.0008134957,0.01322317],"category_scores_gemma":[0.0009280019,0.0002341474,0.0004992104,0.0002205309,0.0003250988,0.001004755,0.001530853,0.0005752372,0.005131883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555071,"about_ca_system_score_gemma":0.001017209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003729551,"about_ca_topic_score_gemma":0.003720436,"domain_scores_codex":[0.9997119,0.00004736778,0.00002888295,0.00008293104,0.00005869754,0.00007015535],"domain_scores_gemma":[0.9996413,0.0000501899,0.00003628687,0.00005151412,0.0001125394,0.0001081882],"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":[0.00883926,0.00271147,0.06647796,0.002453496,0.000494774,0.007137415,0.004448778,0.02074126,0.1138721,0.007823107,0.09334181,0.6716585],"study_design_scores_gemma":[0.002271527,0.006510868,0.1269067,0.001109895,0.001247199,0.007607237,0.005220934,0.4674529,0.0835706,0.01413422,0.2832729,0.0006951591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6161419,0.002911533,0.2672176,0.002740592,0.001379814,0.002136202,0.003610202,0.05067771,0.05318451],"genre_scores_gemma":[0.9331239,0.0006659174,0.03786198,0.0005869242,0.00009078522,0.0007454912,0.001875561,0.0002589777,0.02479035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01322317,"threshold_uncertainty_score":0.04423589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255570927454152,"score_gpt":0.263473837688977,"score_spread":0.2509181284144355,"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."}}