{"id":"W6958973951","doi":"10.6084/m9.figshare.27161031","title":"Factors influencing metal concentrations in hair and nails during longitudinal follow-up of apprentice welders","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Energy Law and Policy","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confounding; Longitudinal study; Repeated measures design; Multivariate analysis; Multivariate statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001275656,0.0001062683,0.0001806079,0.0001986999,0.0000716469,0.0001956866,0.0002137549,0.00005851158,0.01719204],"category_scores_gemma":[0.001766318,0.0000798658,0.00008472642,0.0005508124,0.00001939554,0.0004912926,0.00009969853,0.0001138071,0.0001119913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002220342,"about_ca_system_score_gemma":0.00008262329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153607,"about_ca_topic_score_gemma":0.0005267191,"domain_scores_codex":[0.9987626,0.00005132268,0.0003374065,0.0002783236,0.0003863531,0.000183992],"domain_scores_gemma":[0.9989535,0.0006531431,0.00006630518,0.0001799964,0.00007163848,0.00007546731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001784609,0.0003297008,0.5361722,0.003652947,0.0009658119,0.0005844488,0.09803008,0.01970537,0.0273058,0.03782757,0.2528842,0.02236345],"study_design_scores_gemma":[0.001144182,0.00008076672,0.8959309,0.003577194,0.0000533798,0.00001771601,0.004019784,0.002969213,0.03486149,0.001935971,0.05475408,0.0006552772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867889,0.0007005571,0.000002530712,0.00006466144,0.0001384791,0.0000728705,0.01007176,0.00003276153,0.00212744],"genre_scores_gemma":[0.9984401,0.000002437566,0.00001325086,0.00001655005,0.00004016769,0.00001313836,0.0006422153,0.000007062854,0.0008250246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3597588,"threshold_uncertainty_score":0.9837064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744361193314646,"score_gpt":0.3757884161612974,"score_spread":0.2013522968298328,"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."}}