{"id":"W4247006434","doi":"10.1515/iupac.81.0208","title":"Control","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013544,0.0008978174,0.001345883,0.0004970884,0.0001425791,0.0001089696,0.001068316,0.0007240367,0.01899843],"category_scores_gemma":[0.001865322,0.0006523427,0.0003794415,0.0003104096,0.0003480635,0.0001563329,0.0001957117,0.0008438347,0.0003814502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394398,"about_ca_system_score_gemma":0.00181455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001884537,"about_ca_topic_score_gemma":0.001467047,"domain_scores_codex":[0.9944147,0.0002737274,0.0007974744,0.000926662,0.002607046,0.0009804289],"domain_scores_gemma":[0.9954765,0.0002534443,0.0006282008,0.002097578,0.001133363,0.0004109542],"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":[0.0007313704,0.0002869373,0.000005293143,0.00008883236,0.0003527531,0.0002132194,0.00000227442,0.000001021168,0.00004842378,0.00001317465,0.9972925,0.0009642261],"study_design_scores_gemma":[0.004970772,0.0002442956,0.00001638508,0.0004963087,0.0004200048,0.00003482231,0.000004036757,0.000003509456,0.00001144093,0.0001471492,0.9928029,0.0008483576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001235223,0.0007990932,0.0001705384,0.0005458813,0.001230529,0.0006660049,0.9961552,0.0003368787,0.00008350151],"genre_scores_gemma":[0.00002070482,0.0001844804,0.00002173959,0.0005518566,0.002710642,0.00004039747,0.9956793,0.0002498997,0.0005409961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01861698,"threshold_uncertainty_score":0.9995928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012023090141585,"score_gpt":0.4091279554864928,"score_spread":0.3971048653449078,"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."}}