{"id":"W4246324417","doi":"10.1515/iupac.81.0158","title":"Broodstock","year":2016,"lang":"nl","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; 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":[0.001442087,0.001798536,0.001561093,0.00381294,0.0009797945,0.003268339,0.002831485,0.001811064,0.2098516],"category_scores_gemma":[0.009391104,0.0007441236,0.001436652,0.006624117,0.0005456601,0.002245673,0.002619017,0.002206662,0.2992833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587403,"about_ca_system_score_gemma":0.002917884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176802,"about_ca_topic_score_gemma":0.04293836,"domain_scores_codex":[0.99832,0.0003023597,0.0002328482,0.0005636372,0.0003781803,0.0002027642],"domain_scores_gemma":[0.9966931,0.0009459886,0.0003057189,0.0009640502,0.0007408125,0.000350252],"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":[0.00004993633,0.0000142594,0.0004562853,0.0005818669,0.00001527694,0.00001428837,0.0000165181,0.0001560301,0.00006745267,0.0005043352,0.9949664,0.003157204],"study_design_scores_gemma":[0.0001437185,0.00001275671,0.001268102,0.0002724465,0.00001243743,0.00003864047,0.00004976135,0.0002466276,0.0001889064,0.00145803,0.9962912,0.000017447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006428034,0.0000555232,0.00007938804,0.00005925732,0.00002804828,0.00001538494,0.9981062,0.0004768582,0.001114962],"genre_scores_gemma":[0.0002147399,0.00005898053,0.000346603,0.00006824618,0.000007308342,0.00008199075,0.9978262,0.0001397219,0.001256318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2098516,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184831031409826,"score_gpt":0.3620504930133532,"score_spread":0.3502021826992549,"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."}}