{"id":"W4237421866","doi":"10.1515/iupac.88.0541","title":"Blastula","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001161704,0.001884434,0.001320746,0.004038718,0.001069139,0.003144012,0.002650979,0.001870884,0.1284326],"category_scores_gemma":[0.006958654,0.0007534038,0.001931108,0.005299062,0.0003948227,0.002382039,0.002808426,0.001926586,0.1899782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464911,"about_ca_system_score_gemma":0.002469089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182127,"about_ca_topic_score_gemma":0.03503161,"domain_scores_codex":[0.9984246,0.0002667309,0.000296877,0.0004838928,0.0003262052,0.0002016565],"domain_scores_gemma":[0.9974366,0.0006675299,0.0002897037,0.0007478969,0.0006708517,0.0001874548],"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":[0.0001487831,0.00002288406,0.001461609,0.001688892,0.0000441737,0.00003780391,0.00004428974,0.000251635,0.0002310591,0.001124058,0.9864588,0.008485933],"study_design_scores_gemma":[0.0001000089,0.00001560259,0.002711776,0.0004977184,0.00002605029,0.00006188658,0.00006693232,0.0002128919,0.0002979709,0.001132824,0.9948553,0.00002108722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001354112,0.0001585103,0.0001450475,0.00007125227,0.00004071607,0.0000251424,0.9970443,0.0006166778,0.001762998],"genre_scores_gemma":[0.0003204334,0.0001416644,0.0004215201,0.0001083277,0.000009287996,0.00009280652,0.9975393,0.0001155086,0.001251113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8715674,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137280746970942,"score_gpt":0.4580980335161853,"score_spread":0.4467252260464759,"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."}}