{"id":"W4244110794","doi":"10.1515/iupac.88.1069","title":"Mitosis","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":[0.001306303,0.001344095,0.001177592,0.003698343,0.0009588895,0.003713307,0.002164428,0.001572866,0.2470936],"category_scores_gemma":[0.01052306,0.0005535798,0.001511337,0.005972863,0.0003638564,0.003021143,0.002520272,0.001503454,0.2735005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527975,"about_ca_system_score_gemma":0.002669981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01247517,"about_ca_topic_score_gemma":0.02367911,"domain_scores_codex":[0.9979883,0.000322032,0.0003894952,0.0006250574,0.0004358198,0.0002392522],"domain_scores_gemma":[0.9954804,0.00110455,0.0004289237,0.001177768,0.001494086,0.00031427],"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":[0.00007336109,0.00001119772,0.0008610966,0.0008612354,0.0000182342,0.00001655178,0.00002457556,0.00008043015,0.00008937275,0.0009897139,0.9891635,0.007810634],"study_design_scores_gemma":[0.00005540612,0.000008062461,0.001541123,0.0003612306,0.0000105952,0.00003173134,0.00005358961,0.00007357829,0.0001182763,0.0009391002,0.996796,0.00001144252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001108374,0.0001467358,0.0001479822,0.0001475206,0.00008651102,0.00003899691,0.9944936,0.0004600978,0.004367808],"genre_scores_gemma":[0.0003942989,0.0001788869,0.0004908814,0.0002349169,0.00002430993,0.0001291352,0.995106,0.0001436315,0.003297969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7529064,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188992829015545,"score_gpt":0.4567043668247596,"score_spread":0.4448144385346042,"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."}}