{"id":"W4249532462","doi":"10.1515/iupac.81.0075","title":"Assemblage","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; Environmental risk assessment; Relation (database); 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":[],"consensus_categories":[],"category_scores_codex":[0.001176319,0.001952872,0.001659275,0.006803055,0.00152203,0.004056044,0.002527983,0.001851463,0.1887],"category_scores_gemma":[0.01022426,0.0007692314,0.001539554,0.01070434,0.0004683781,0.003403043,0.003842467,0.002237964,0.2389598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787544,"about_ca_system_score_gemma":0.002839757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044334,"about_ca_topic_score_gemma":0.04388855,"domain_scores_codex":[0.9976675,0.0003451595,0.0003779273,0.000785812,0.0005014479,0.0003221345],"domain_scores_gemma":[0.9959534,0.0009000379,0.000371044,0.001002732,0.00137429,0.0003985108],"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":[0.00007123271,0.00001365049,0.002268102,0.000788616,0.00002970192,0.00002593149,0.0000655953,0.0001467079,0.0001554381,0.001244097,0.9891873,0.006003644],"study_design_scores_gemma":[0.00004047217,0.000007406253,0.002714521,0.0002508282,0.00001298438,0.00004322817,0.0001260801,0.0001145997,0.00009921769,0.001114513,0.9954621,0.00001397551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001843771,0.0001323815,0.000134525,0.00009928249,0.00004552581,0.00002116592,0.9971417,0.0002696039,0.00197137],"genre_scores_gemma":[0.0004002013,0.000113632,0.0004479825,0.00007093326,0.00001174979,0.00009225274,0.9973665,0.00009659387,0.001400101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1887,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802262009068414,"score_gpt":0.432082497330606,"score_spread":0.4140598772399219,"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."}}