{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01333186,0.0005490845,0.0005450158,0.0005256012,0.00118771,0.0003645908,0.001064592,0.0003676156,0.0007065121],"category_scores_gemma":[0.0003130193,0.0005650021,0.0002631658,0.0005763052,0.0005579886,0.0002228697,0.004243013,0.01754528,0.002236163],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0212405,"about_ca_system_score_gemma":0.002008258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003060978,"about_ca_topic_score_gemma":0.004576492,"domain_scores_codex":[0.9886499,0.001007795,0.0009287383,0.00159534,0.001676181,0.006142024],"domain_scores_gemma":[0.9981599,0.0001854748,0.0002767712,0.000756287,0.00004666326,0.0005749116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002872623,0.0007018538,0.07062744,0.001110122,0.001921006,0.001135055,0.02594103,0.04526065,0.1219301,0.05646444,0.002942621,0.6716784],"study_design_scores_gemma":[0.0007393289,0.0006831502,0.001692204,0.001186616,0.0001405411,0.001623284,0.02049281,0.002425571,0.001401997,0.9623749,0.005575976,0.001663627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770243,0.001118935,0.006059827,0.001621276,0.0006508249,0.001032432,0.00003353071,0.0001061021,0.01235273],"genre_scores_gemma":[0.9935214,0.0005370287,0.001512017,0.0001782488,0.00056591,0.00004913893,0.00001104728,0.0001354331,0.003489763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9059104,"threshold_uncertainty_score":0.9996802,"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."}}