{"id":"W4211263887","doi":"10.1080/15459624.2022.2040736","title":"Predicting first-order evaporation rate constant alpha (α) from small spills of organic solvents in a controlled environment","year":2022,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Hygiene","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; École de Technologie Supérieure; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Vapor pressure; Volume (thermodynamics); Gravimetric analysis; Environmental science; Evaporation; Linear regression; Atmospheric pressure; Chemistry; Environmental engineering; Statistics; Meteorology; Thermodynamics; Mathematics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001042542,0.0006799086,0.0006218025,0.0005704084,0.0002040716,0.0006260581,0.000382009,0.0004995403,0.0003658271],"category_scores_gemma":[0.003322352,0.0003028221,0.0008609396,0.0006537781,0.0002826308,0.0004522952,0.0002915596,0.0005459668,0.0002582685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284595,"about_ca_system_score_gemma":0.0005539461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007375011,"about_ca_topic_score_gemma":0.006294076,"domain_scores_codex":[0.9993954,0.0001038214,0.00005368501,0.0001522533,0.0002367156,0.00005814751],"domain_scores_gemma":[0.997991,0.001202388,0.0003771536,0.0001268817,0.0002743063,0.00002831904],"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":[0.001169921,0.0006497669,0.1374163,0.0006868928,0.0002162756,0.0003349547,0.0003421927,0.3155321,0.4840811,0.0002941838,0.0003522914,0.05892417],"study_design_scores_gemma":[0.00002888827,0.001167816,0.05736493,0.00002005421,0.0001305123,0.000129671,0.0001680371,0.528228,0.4119189,0.0002142288,0.0005534485,0.00007548957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980193,0.0001956203,0.01888884,0.00001788898,0.000007052752,0.00002807397,0.0002182691,0.0001512613,0.0003000342],"genre_scores_gemma":[0.9905187,0.0003573334,0.00837143,0.00001392003,0.000003808335,0.00004789341,0.0003017262,0.00003158697,0.0003536202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007375011,"threshold_uncertainty_score":0.01466417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256936594285129,"score_gpt":0.2090524986970533,"score_spread":0.196483132754202,"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."}}