{"id":"W4236452521","doi":"10.1515/iupac.81.0518","title":"Life Cycle","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; Philosophy; Linguistics","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":[0.0008278966,0.001794607,0.001228583,0.003836447,0.0008821695,0.003190305,0.002175609,0.001367547,0.09966374],"category_scores_gemma":[0.006637657,0.00060145,0.001555612,0.00794738,0.0002755073,0.002324759,0.001849587,0.001888196,0.1220402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953148,"about_ca_system_score_gemma":0.00258784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388476,"about_ca_topic_score_gemma":0.04524921,"domain_scores_codex":[0.9988334,0.0001481177,0.000174868,0.0003743766,0.0003012866,0.0001680357],"domain_scores_gemma":[0.9972977,0.0006505256,0.0003116934,0.0006497345,0.0008885892,0.0002017076],"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":[0.00008273544,0.00001869262,0.002902977,0.001119154,0.00005166876,0.00002411514,0.00003469796,0.0006649568,0.0001443408,0.002048132,0.9821078,0.01080075],"study_design_scores_gemma":[0.00004789171,0.000009055448,0.003367428,0.0003143819,0.00002079364,0.00004775421,0.00005222628,0.0003054767,0.0001133736,0.001691617,0.9940113,0.00001867702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001302794,0.0001283794,0.0001033248,0.00006450625,0.00001883146,0.000008164366,0.9978063,0.0001991582,0.001540969],"genre_scores_gemma":[0.0005614218,0.0001859839,0.000297829,0.00007643025,0.000006028561,0.00003695626,0.9977127,0.00005860447,0.00106395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09966374,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540413084455899,"score_gpt":0.4109992489105573,"score_spread":0.3955951180659983,"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."}}