{"id":"W4245641874","doi":"10.1515/iupac.81.0096","title":"Benefit","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001504446,0.0009685271,0.001156124,0.002577114,0.001271462,0.003874233,0.002107308,0.002234432,0.3469791],"category_scores_gemma":[0.02105506,0.0004448907,0.001388174,0.004964953,0.0003479975,0.003784249,0.00285283,0.001952806,0.2683085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664652,"about_ca_system_score_gemma":0.003348214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01882415,"about_ca_topic_score_gemma":0.02909576,"domain_scores_codex":[0.9976385,0.0004390015,0.0002957814,0.0007435184,0.0005827401,0.0003005189],"domain_scores_gemma":[0.9931978,0.001912142,0.0005917809,0.001504374,0.002259662,0.0005342743],"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":[0.0001072421,0.00001573415,0.00182825,0.0006291126,0.00002430897,0.00002244442,0.00002840493,0.00009976693,0.00004203128,0.002183977,0.9816945,0.01332432],"study_design_scores_gemma":[0.00007557569,0.0000105861,0.002319334,0.0005103016,0.0000223966,0.00007339375,0.00009110563,0.0001073581,0.00007593555,0.002707478,0.9939935,0.00001296601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004922441,0.0005234809,0.0003336841,0.001016012,0.0002413194,0.00008167075,0.9753591,0.0004178452,0.0215346],"genre_scores_gemma":[0.002955514,0.0005883574,0.001196974,0.002001753,0.0001124658,0.0002942164,0.9751394,0.0002996204,0.01741172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6530209,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613022108435774,"score_gpt":0.4123548776291683,"score_spread":0.3962246565448106,"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."}}