{"id":"W4238918419","doi":"10.1515/iupac.81.0465","title":"Imposex","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Computer science; Biology; Risk assessment","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003830497,0.0003350558,0.0005687582,0.0002555907,0.0006753828,0.0001555075,0.001182799,0.0007991462,0.01462078],"category_scores_gemma":[0.004875979,0.0002709833,0.0001492348,0.0003986344,0.0006432846,0.0002252447,0.0001955795,0.000623839,0.00002134837],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734592,"about_ca_system_score_gemma":0.01003181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004828877,"about_ca_topic_score_gemma":0.02247538,"domain_scores_codex":[0.9948604,0.0004991559,0.0005765787,0.0005487259,0.002449555,0.001065596],"domain_scores_gemma":[0.9970195,0.0003605401,0.0003511939,0.0008646216,0.0007374859,0.0006667128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002327923,0.0000840846,0.000007141224,0.00005682817,0.00002701043,0.00003052524,0.0001270843,2.5294e-8,2.856544e-7,0.0003088912,0.9870672,0.01226766],"study_design_scores_gemma":[0.0003800228,0.00006625888,0.00002042221,0.000167439,0.0000235658,0.000001965868,0.0001190894,1.711102e-7,4.463267e-7,0.0007553311,0.9981204,0.0003449311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001545842,0.0004392203,0.00002579296,0.01686889,0.002838735,0.0004122945,0.9764338,0.0001657469,0.002800058],"genre_scores_gemma":[0.000005196719,0.002612576,0.00004428429,0.001720965,0.005138702,0.00002254035,0.9872358,0.00003297669,0.003186992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0176465,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027936390546068,"score_gpt":0.506039750537646,"score_spread":0.478103359991578,"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."}}