{"id":"W4252965909","doi":"10.1515/iupac.81.0692","title":"Piscivorous","year":2016,"lang":"it","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Environmental science; 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":[0.0004218669,0.001944056,0.001342681,0.003215028,0.001505974,0.002403146,0.002272325,0.001652502,0.08950334],"category_scores_gemma":[0.002920387,0.0004905611,0.001339708,0.004697043,0.0005482181,0.001892042,0.002422063,0.00191983,0.1131185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009658046,"about_ca_system_score_gemma":0.001467241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931385,"about_ca_topic_score_gemma":0.03667949,"domain_scores_codex":[0.9992557,0.00008096425,0.00007183146,0.0002941617,0.0001647415,0.0001325696],"domain_scores_gemma":[0.9993427,0.0001640453,0.0000977566,0.0001718226,0.0001408052,0.00008281586],"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":[0.0002413509,0.0000370476,0.004224333,0.001627162,0.0000549322,0.0001348023,0.00006635574,0.0004176087,0.0003582416,0.001657187,0.9750139,0.01616714],"study_design_scores_gemma":[0.00008469282,0.00001693976,0.006379734,0.0003591873,0.00003391468,0.0001882319,0.0001291702,0.0003973487,0.0002634896,0.001482201,0.9906432,0.00002177653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001180928,0.0005359601,0.0001978457,0.000133053,0.0001054607,0.00002299404,0.992331,0.0004708106,0.005021984],"genre_scores_gemma":[0.001871602,0.0002860846,0.0005119619,0.0001246402,0.00001609107,0.00006679315,0.9947654,0.00008464988,0.002272736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08950334,"threshold_uncertainty_score":0.2994185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180209606932197,"score_gpt":0.3603095317538921,"score_spread":0.3485074356845701,"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."}}