{"id":"W4232133617","doi":"10.1515/iupac.81.0201","title":"Condition Index","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001090616,0.002591186,0.001619282,0.0074229,0.001520259,0.004197003,0.002891497,0.002614328,0.1876438],"category_scores_gemma":[0.01562873,0.0005577463,0.001681514,0.008995111,0.0005238461,0.003725547,0.002580719,0.002586787,0.1859714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002886997,"about_ca_system_score_gemma":0.003684678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366865,"about_ca_topic_score_gemma":0.04134404,"domain_scores_codex":[0.9974075,0.0002634282,0.0004412265,0.0009314718,0.0006267303,0.0003296532],"domain_scores_gemma":[0.993762,0.00190428,0.0005129206,0.001366243,0.001992657,0.0004619102],"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":[0.00008509948,0.00003299406,0.002036426,0.0007016294,0.00002071435,0.00003593919,0.00001865751,0.0002526537,0.0001011691,0.001024384,0.9870831,0.008607216],"study_design_scores_gemma":[0.0001298119,0.00002399033,0.005005456,0.000491494,0.00002631528,0.000166476,0.0001271988,0.0007810973,0.0002738445,0.00347642,0.9894584,0.00003954922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002049111,0.0001630761,0.0001385373,0.0001212349,0.00005195006,0.00003737447,0.9962544,0.0004142277,0.00261428],"genre_scores_gemma":[0.0005854596,0.0001294606,0.0005238905,0.0001037527,0.00001776527,0.0001227659,0.9973817,0.00006497529,0.001070237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1876438,"threshold_uncertainty_score":0.6277311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112200228192214,"score_gpt":0.3904450892520949,"score_spread":0.3793230869701728,"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."}}