{"id":"W4233625867","doi":"10.1515/iupac.81.0877","title":"Subcooled","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001320039,0.001935074,0.001383741,0.004768782,0.001258877,0.004282419,0.002763493,0.002006503,0.211504],"category_scores_gemma":[0.01039905,0.0007744288,0.001737815,0.008435199,0.0005864749,0.003450419,0.004322539,0.002273475,0.2986478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646174,"about_ca_system_score_gemma":0.002968854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01770167,"about_ca_topic_score_gemma":0.04157428,"domain_scores_codex":[0.9980665,0.0003392215,0.0002716461,0.000573063,0.000420097,0.0003294858],"domain_scores_gemma":[0.9959379,0.0009520872,0.0003496255,0.001262301,0.001150699,0.0003473309],"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":[0.00004758346,0.00001197409,0.0006689169,0.000572251,0.00001528041,0.00001508341,0.00003124346,0.0001034029,0.00007009333,0.0006807074,0.9948886,0.002894933],"study_design_scores_gemma":[0.00006873327,0.00000947769,0.001955197,0.0003357913,0.00001091246,0.00004274279,0.00009541322,0.0001499278,0.000159713,0.001435436,0.9957181,0.00001846223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008281043,0.00006136431,0.00008372723,0.00007984083,0.00003990208,0.00001326731,0.997766,0.0004009983,0.001472077],"genre_scores_gemma":[0.0002205846,0.00005326958,0.0002620621,0.00007248083,0.000008491904,0.00006232693,0.998125,0.0001326538,0.001063119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.788496,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565509863236829,"score_gpt":0.4192623129514247,"score_spread":0.4036072143190564,"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."}}