{"id":"W4245911696","doi":"10.1515/iupac.81.0084","title":"Autotroph","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); Ecology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009502161,0.001974811,0.001280485,0.003301912,0.000955741,0.003109301,0.002303221,0.001682321,0.09952513],"category_scores_gemma":[0.005674577,0.0006904695,0.001376196,0.005371371,0.0004170702,0.002156927,0.002609459,0.002005524,0.1688367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504592,"about_ca_system_score_gemma":0.002386538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01836818,"about_ca_topic_score_gemma":0.04011367,"domain_scores_codex":[0.9987351,0.0001929041,0.0001637888,0.0004338799,0.0002989496,0.0001753199],"domain_scores_gemma":[0.99817,0.0004500591,0.000220375,0.000486512,0.0004918053,0.0001812584],"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":[0.00008902371,0.00001962362,0.00159576,0.001048655,0.00003527175,0.00002522795,0.00003903691,0.0002767116,0.0001507635,0.001035087,0.9918215,0.003863379],"study_design_scores_gemma":[0.0001107235,0.00001286356,0.002958116,0.0004332416,0.00002031258,0.00006459181,0.00007489823,0.0002758753,0.0002068374,0.001286258,0.9945371,0.00001914542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001135542,0.00008554565,0.00005438447,0.0000602065,0.00001911871,0.000007197859,0.9984043,0.0002594088,0.0009962471],"genre_scores_gemma":[0.0002479304,0.00007376089,0.0001647534,0.00005121429,0.000004342355,0.0000290626,0.9987,0.00005331908,0.0006755118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09952513,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009025492785086606,"score_gpt":0.3530837952773405,"score_spread":0.3440583024922539,"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."}}