{"id":"W4254746086","doi":"10.32920/ryerson.14662665","title":"Heavy metals in indoor settled dusts in Toronto, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Environmental chemistry; Mercury (programming language); Heavy metals; Atomic absorption spectroscopy; Metal; Cadmium; Inductively coupled plasma; Environmental science; Chemistry; Metallurgy; Materials science; Plasma","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001435955,0.000427124,0.0002805243,0.00138426,0.00277443,0.001143604,0.0005545346,0.0002313114,0.002296016],"category_scores_gemma":[0.0003218398,0.0002504713,0.0001985189,0.00276132,0.000475178,0.0001460478,0.000474052,0.0002064622,0.0003483923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01318172,"about_ca_system_score_gemma":0.008860682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812438,"about_ca_topic_score_gemma":0.9938002,"domain_scores_codex":[0.9995161,0.00001740855,0.00002167046,0.0001065655,0.0002615331,0.00007670486],"domain_scores_gemma":[0.9996256,0.00001498407,0.00003049191,0.000007131879,0.0002674562,0.00005444466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004477355,0.00009225632,0.8764519,0.0006543635,0.0001335922,0.002713343,0.009348965,0.0007989192,0.06412479,0.0004326493,0.006020853,0.03878056],"study_design_scores_gemma":[0.000007724268,0.00004787117,0.9886094,0.00003854668,0.00001804565,0.0001822624,0.00323904,0.0001827738,0.002431449,0.00003077691,0.005199207,0.0000128919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849324,0.001428373,0.0003112486,0.000092472,0.00001917648,0.00005370592,0.005183904,0.0000299612,0.007948804],"genre_scores_gemma":[0.9864027,0.001263499,0.0006933484,0.00007132748,0.00001041622,0.00001729562,0.003138662,0.00001145084,0.008391337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875621,"threshold_uncertainty_score":0.09564048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067402118697275,"score_gpt":0.2431393258446699,"score_spread":0.2324653046576971,"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."}}