{"id":"W4245936412","doi":"10.1515/iupac.88.0730","title":"Embryo Transport Rate Analysis","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; Data mining; 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":[0.002422121,0.001329615,0.001351967,0.004494273,0.000667812,0.002369707,0.002425001,0.001593269,0.06285522],"category_scores_gemma":[0.01389056,0.0005673281,0.002767847,0.003977008,0.0003238438,0.001315053,0.00150523,0.001622182,0.0533254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466295,"about_ca_system_score_gemma":0.00235461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157982,"about_ca_topic_score_gemma":0.01860731,"domain_scores_codex":[0.9981886,0.0002537152,0.0004604367,0.000551889,0.0003940599,0.0001513195],"domain_scores_gemma":[0.9921352,0.003053513,0.001016365,0.001760482,0.001858385,0.0001761029],"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":[0.0005676688,0.00006532566,0.01113163,0.005467278,0.0003115256,0.0001227427,0.00005560175,0.001830168,0.0005752955,0.00179533,0.9418135,0.03626407],"study_design_scores_gemma":[0.0003751473,0.00006270692,0.02274594,0.001561032,0.0002723254,0.0003066351,0.00009198491,0.001784075,0.001477888,0.002757768,0.9684824,0.00008205875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005054898,0.0004257153,0.0005681943,0.00008578732,0.0000658488,0.0000798632,0.9959871,0.0005715775,0.001710314],"genre_scores_gemma":[0.002196045,0.0004250818,0.002060568,0.0001197514,0.00002763027,0.0004924376,0.9920822,0.000174881,0.00242144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06285522,"threshold_uncertainty_score":0.2102717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043156206373888,"score_gpt":0.436312551932371,"score_spread":0.4258809898686321,"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."}}