{"id":"W4399702303","doi":"10.2139/ssrn.4866477","title":"Constructing Hairdb to Facilitate Exposome Research Using Human Hair","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Exposome; Computer science; Nanotechnology; Medicine; Environmental health; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006362625,0.0007061869,0.0005369004,0.001233726,0.0005249995,0.001371235,0.0008567595,0.0007947168,0.02314842],"category_scores_gemma":[0.003440624,0.0004562048,0.0007814361,0.001158714,0.0003457435,0.001138529,0.002496629,0.0007083646,0.006507721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241166,"about_ca_system_score_gemma":0.0006305363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279984,"about_ca_topic_score_gemma":0.004292957,"domain_scores_codex":[0.9996932,0.00004521707,0.00002465538,0.00008340862,0.0001095272,0.00004400518],"domain_scores_gemma":[0.9989054,0.0003592937,0.0000521753,0.0003600185,0.0002320755,0.00009100862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009770625,0.0004502735,0.007919012,0.00170135,0.0001455625,0.001595826,0.001989152,0.02752336,0.3299681,0.01865675,0.0749478,0.5341257],"study_design_scores_gemma":[0.0002096905,0.0004000295,0.01253257,0.0002610673,0.0001739673,0.002368152,0.001726818,0.2618332,0.2944493,0.04962608,0.3762127,0.0002064739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01652852,0.00016216,0.9405349,0.0001399066,0.0002174711,0.0002354279,0.006382192,0.03055963,0.005239736],"genre_scores_gemma":[0.1315106,0.0004551623,0.8464845,0.000153984,0.00005679809,0.0004382978,0.008658683,0.003921975,0.008319969],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02314842,"threshold_uncertainty_score":0.07743919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243251296274872,"score_gpt":0.3747403951201919,"score_spread":0.2504152654927047,"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."}}