{"id":"W2556873370","doi":"10.3390/ecsa-3-s2003","title":"Sensor-Based Smart Oven System to Enhance Cooking Safety","year":2016,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Principal (computer security); Computer science; Embedded system; Ambient intelligence; Intelligent sensor; Engineering; Human–computer interaction; Computer security; Wireless sensor network; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003252511,0.0002301358,0.0002945948,0.00013741,0.00006552465,0.00003033966,0.0001837273,0.0001023126,0.0001438189],"category_scores_gemma":[0.00003468524,0.0001674822,0.00008257331,0.0002260313,0.00001606923,0.00009208472,0.00002311895,0.0000740463,0.002217779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613182,"about_ca_system_score_gemma":0.00002870815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006009746,"about_ca_topic_score_gemma":0.00004223211,"domain_scores_codex":[0.9985541,0.00005346924,0.0003908658,0.000279305,0.000258733,0.0004635741],"domain_scores_gemma":[0.9990247,0.0001753829,0.00003142608,0.0005222369,0.00006230354,0.0001839028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002091933,0.00006327406,0.01216802,0.002325978,0.0002838852,0.0001601306,0.0004996907,0.05804078,0.8395168,0.006352344,0.05043071,0.02994923],"study_design_scores_gemma":[0.001388118,0.0001380448,0.002407502,0.002222344,0.00003131097,0.00002999359,0.0003643841,0.02660403,0.6392855,0.000004634317,0.3260614,0.001462733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2151697,0.00008252543,0.6685305,0.0005849983,0.002966411,0.0009007239,0.00006232961,0.003533392,0.1081694],"genre_scores_gemma":[0.9954977,0.000001019626,0.001294817,0.0001161177,0.0002487435,0.00004295314,0.000002507546,0.00007395169,0.002722162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.780328,"threshold_uncertainty_score":0.9985591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004981930344749983,"score_gpt":0.2055222496901937,"score_spread":0.2005403193454438,"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."}}