{"id":"W3187189595","doi":"10.3390/s21165402","title":"Sensors for Fire and Smoke Monitoring","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; York University","funders":"","keywords":"Smoke; Civilization; Engineering; Architectural engineering; Environmental science; Computer science; Forensic engineering; Computer security; Waste management; History; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749434,0.0006463293,0.0005628652,0.0008947371,0.0005444815,0.001463072,0.001029751,0.001810213,0.006659704],"category_scores_gemma":[0.001316829,0.0004164177,0.0004609823,0.0009682001,0.0006506351,0.001825713,0.001213302,0.001843653,0.003546844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005202226,"about_ca_system_score_gemma":0.0005084596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006806357,"about_ca_topic_score_gemma":0.001308155,"domain_scores_codex":[0.9990128,0.0001073347,0.00002410715,0.0001803449,0.0006032746,0.00007213248],"domain_scores_gemma":[0.9995599,0.0001058187,0.00006763063,0.00004757756,0.0001865542,0.0000323282],"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":[0.0004254265,0.0001746321,0.003049315,0.002173308,0.0001627213,0.0002950773,0.000326225,0.004142554,0.2636196,0.06091904,0.08861357,0.5760986],"study_design_scores_gemma":[0.00004569234,0.0005660438,0.004892653,0.0006747776,0.0001546169,0.001488746,0.0003098456,0.02358547,0.2444828,0.03199219,0.6916323,0.0001748501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04813378,0.2560057,0.4646025,0.02018179,0.01194345,0.0004863569,0.003767339,0.006426224,0.1884528],"genre_scores_gemma":[0.5486876,0.1330557,0.1971931,0.0077857,0.003400707,0.0004802672,0.002943586,0.0004202093,0.106033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006659704,"threshold_uncertainty_score":0.02227896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736827008493812,"score_gpt":0.2271256578017504,"score_spread":0.2097573877168122,"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."}}