{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152551,0.00174003,0.001307004,0.004757213,0.001267506,0.00421513,0.002886343,0.001993129,0.1416996],"category_scores_gemma":[0.01161776,0.0007939254,0.001497906,0.0098573,0.0005154453,0.003233477,0.003104241,0.002555717,0.2078903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520647,"about_ca_system_score_gemma":0.003812378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03317412,"about_ca_topic_score_gemma":0.05327434,"domain_scores_codex":[0.997889,0.0004370016,0.0003065786,0.0005040113,0.0005711088,0.0002923681],"domain_scores_gemma":[0.9959686,0.0009230315,0.0004327515,0.001116053,0.001187074,0.0003725872],"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":[0.00003881431,0.00001267387,0.0008148995,0.0003895205,0.00001356188,0.00001435514,0.00002494417,0.0001100327,0.00003936727,0.001314785,0.9940996,0.003127572],"study_design_scores_gemma":[0.00005700258,0.000005691145,0.001940817,0.0002529914,0.000007080941,0.00003517025,0.00007374923,0.0001366089,0.00008813656,0.001144335,0.9962469,0.00001149061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001050075,0.00008768137,0.00009341149,0.0001588204,0.00004120685,0.00001554105,0.9961277,0.0004244435,0.002946198],"genre_scores_gemma":[0.0003164671,0.0001246761,0.0002864801,0.0001345237,0.00001345759,0.00007757173,0.9969922,0.0001492529,0.001905433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1416996,"threshold_uncertainty_score":0,"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."}}