{"id":"W3194904586","doi":"10.1093/annweh/wxab071","title":"Construction and Calibration of an Exposure Matrix for the Welding Trades","year":2021,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; CSA Group","keywords":"Welding; Environmental health; Environmental science; Metallurgy; Medicine; Materials science","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":[0.0152305,0.0009350427,0.0008747426,0.006519058,0.0005468266,0.001992266,0.001366315,0.0007616266,0.002406529],"category_scores_gemma":[0.04203351,0.0006070449,0.002709162,0.003853666,0.0005402237,0.001458606,0.001782438,0.0007840784,0.0007106148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009582311,"about_ca_system_score_gemma":0.00274494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005182622,"about_ca_topic_score_gemma":0.004614254,"domain_scores_codex":[0.993254,0.003212575,0.0008912334,0.001174311,0.001359483,0.0001083454],"domain_scores_gemma":[0.9825206,0.01120864,0.002154691,0.001261729,0.002761859,0.00009250193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001127998,0.0007112951,0.1345039,0.01896234,0.005324015,0.0006654285,0.00247659,0.2554135,0.03007238,0.02464097,0.009842938,0.5162585],"study_design_scores_gemma":[0.0005451602,0.003523947,0.2400353,0.007021036,0.004783663,0.001257019,0.003679733,0.47774,0.04181006,0.05757131,0.1612987,0.0007341629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1945581,0.006581403,0.7667733,0.001104229,0.0002779428,0.002987682,0.01873396,0.001121516,0.007861865],"genre_scores_gemma":[0.4959626,0.004752834,0.4827648,0.0003064,0.00007266203,0.003769989,0.01101717,0.0001135677,0.001240036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0152305,"threshold_uncertainty_score":0.08054757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07535511670629264,"score_gpt":0.3535749931919934,"score_spread":0.2782198764857007,"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."}}