{"id":"W4249899390","doi":"10.1515/iupac.81.0847","title":"Species Differences in Sensitivity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":[0.0007019597,0.0004214183,0.0006574344,0.0001192703,0.0001417694,0.00002358078,0.0003424486,0.0006108172,0.05979024],"category_scores_gemma":[0.0002243311,0.0003242818,0.0001063098,0.0001920361,0.001010291,0.0001323647,0.0006346761,0.0005936623,0.00006989815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076399,"about_ca_system_score_gemma":0.00004773011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002292578,"about_ca_topic_score_gemma":0.03009639,"domain_scores_codex":[0.9973765,0.0002995071,0.0004085253,0.0007012571,0.0006038987,0.0006102917],"domain_scores_gemma":[0.9988891,0.0002355973,0.0001905225,0.0005373413,0.000005370202,0.0001420768],"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":[0.00007841302,0.0004121301,0.01315492,0.00001409862,0.00001884315,0.0002789849,0.00001327843,0.000006119929,0.0004061159,0.000001949642,0.984929,0.0006861308],"study_design_scores_gemma":[0.0005119736,0.0001951721,0.04910654,0.00006114063,0.00002190459,0.00002664648,0.00002326576,0.000005134687,0.0001359779,0.0001734298,0.9493427,0.0003960626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03495761,0.00004716639,0.0000166939,0.0004730464,0.0004847256,0.0002644584,0.9630255,0.00002521371,0.0007056606],"genre_scores_gemma":[0.005658665,0.0008938385,0.00003279958,0.000644148,0.0002580316,0.00002588846,0.9889936,0.00002402998,0.003469017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05972034,"threshold_uncertainty_score":0.9999209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157681196035712,"score_gpt":0.3336930839689237,"score_spread":0.3179249643653524,"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."}}