{"id":"W4386432765","doi":"10.1007/978-981-19-9822-5_164","title":"Fire Risks of Renewable Energy Technologies in Buildings: Analysis of Fire Effluents for Smoke and Toxicant Detection","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; National Research Council Canada; Université de Sherbrooke","funders":"","keywords":"Smoke; Explosive material; Environmental science; Flammable liquid; Combustion; Waste management; Renewable energy; Toxicant; Photovoltaic system; Fire detection; Environmental engineering; Engineering; Architectural engineering; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001662694,0.0001765032,0.0003243009,0.0007207773,0.00003976053,0.00001108706,0.0002309271,0.0001827885,0.000003562926],"category_scores_gemma":[0.00005118848,0.0001836602,0.00004451799,0.0003710482,0.0003483875,0.0001229808,0.0002528952,0.0001451859,1.641389e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189293,"about_ca_system_score_gemma":0.000004728427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008087265,"about_ca_topic_score_gemma":0.0000354304,"domain_scores_codex":[0.9989499,9.310605e-7,0.000231567,0.0002904929,0.0002693895,0.0002577003],"domain_scores_gemma":[0.9996473,0.00006026687,0.00004943451,0.0002075332,0.000005816945,0.00002971134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000813998,0.000009273374,0.0009265648,0.0002387162,0.000190504,0.00000483467,0.0000515973,0.4673916,0.2040851,0.0001824713,0.000006733711,0.3269045],"study_design_scores_gemma":[0.0002967542,0.0002084372,0.006804338,0.0003228352,0.0001539719,0.000003647468,0.0003301328,0.7213576,0.2669427,0.0009624973,0.002030381,0.0005867868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863278,0.002244961,0.009776074,0.00001706342,0.00011752,0.0003487739,0.0001645556,0.000441736,0.0005615784],"genre_scores_gemma":[0.9942358,0.004661084,0.0006457484,8.134515e-7,0.000003715162,0.00003153605,0.000005516029,0.00002806542,0.0003876885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3263177,"threshold_uncertainty_score":0.7489447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262639594359563,"score_gpt":0.2462773858921107,"score_spread":0.223650989948515,"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."}}