{"id":"W4234390056","doi":"10.1515/iupac.81.0503","title":"Larva","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; Environmental risk assessment; Ecology; Computer science; Biology; Risk assessment; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196187,0.001575489,0.001254315,0.003598335,0.0009097058,0.003054748,0.002577438,0.001753419,0.1681773],"category_scores_gemma":[0.008078837,0.0006144699,0.001284027,0.005451728,0.0004211859,0.00235606,0.002687947,0.001698816,0.2747588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532039,"about_ca_system_score_gemma":0.002353576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161742,"about_ca_topic_score_gemma":0.03972942,"domain_scores_codex":[0.9983854,0.0003115038,0.0001822025,0.0005671745,0.0003373431,0.0002163452],"domain_scores_gemma":[0.9972855,0.0006573947,0.0002667115,0.0008211057,0.0006965032,0.0002727954],"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":[0.00005359121,0.00001163797,0.0007774914,0.0005304756,0.00001860653,0.00001651133,0.00001894534,0.0001614101,0.00008052163,0.000705941,0.9940736,0.003551319],"study_design_scores_gemma":[0.0000793358,0.0000109234,0.001644536,0.0003360711,0.00001368117,0.0000525713,0.00004951482,0.0002436296,0.0001807007,0.001279533,0.9960949,0.00001469285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008588382,0.00009032786,0.00008799088,0.00008849295,0.00002801417,0.00001181604,0.9976906,0.0004186826,0.001498304],"genre_scores_gemma":[0.0002683816,0.00007734191,0.0002535637,0.00009824302,0.000007118873,0.00004982438,0.9979985,0.00008427858,0.001162759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1681773,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009620258848080815,"score_gpt":0.3562488010584904,"score_spread":0.3466285422104096,"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."}}