{"id":"W7162028601","doi":"10.82308/22348","title":"Improving lead exposure assessment using dried blood spots","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003080194,0.001115915,0.001021346,0.002620214,0.0004860754,0.00214465,0.001132782,0.001344133,0.004129679],"category_scores_gemma":[0.004808495,0.0006363877,0.0008688627,0.001777619,0.0004249446,0.0007816532,0.000889542,0.0008056297,0.003038443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418483,"about_ca_system_score_gemma":0.0007537826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560246,"about_ca_topic_score_gemma":0.004621522,"domain_scores_codex":[0.9954,0.001155174,0.0002581752,0.0008453308,0.002187688,0.000153624],"domain_scores_gemma":[0.9976346,0.0006480776,0.000251181,0.0002016473,0.001207519,0.00005696538],"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":[0.001456949,0.0003414349,0.04095447,0.001942456,0.0004182052,0.0004924894,0.0005840734,0.002277285,0.5450252,0.001254797,0.008169772,0.397083],"study_design_scores_gemma":[0.0001312856,0.002266118,0.09538133,0.0005177599,0.0009322876,0.003796608,0.0007352708,0.02459217,0.7858691,0.003281562,0.08224581,0.0002506742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3657537,0.03321469,0.5571763,0.002842219,0.001789697,0.001176031,0.005301378,0.006406097,0.02633987],"genre_scores_gemma":[0.5083144,0.02006237,0.432227,0.002504466,0.0005171985,0.0007179528,0.00340256,0.0004904313,0.03176369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004129679,"threshold_uncertainty_score":0.01628977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533044459421859,"score_gpt":0.2853816339106535,"score_spread":0.2700511893164349,"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."}}