{"id":"W4235950209","doi":"10.1515/iupac.88.1089","title":"Myeloblast","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":[0.0009359448,0.001201721,0.001187414,0.003714557,0.001174416,0.00346225,0.001806061,0.001629136,0.1257931],"category_scores_gemma":[0.007314565,0.0006071618,0.001551724,0.005445932,0.0003672379,0.001872878,0.001996936,0.001751048,0.1128846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577836,"about_ca_system_score_gemma":0.002817773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01576459,"about_ca_topic_score_gemma":0.02431047,"domain_scores_codex":[0.9985078,0.0001954178,0.0003550224,0.0004739479,0.0002679435,0.0001998428],"domain_scores_gemma":[0.9974405,0.0006808548,0.0003862217,0.000695292,0.0006215344,0.0001756264],"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":[0.000493273,0.0000299736,0.004518428,0.003497301,0.00008261309,0.0001314931,0.00007084044,0.0003603475,0.0006087978,0.001937581,0.9618006,0.02646859],"study_design_scores_gemma":[0.0001692898,0.00002033583,0.004982814,0.001040627,0.00006513166,0.0002385775,0.00008468449,0.0001687369,0.000435775,0.001687479,0.9910843,0.00002214294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004348756,0.0006194912,0.0002151243,0.0001887514,0.00008039213,0.00004896537,0.9936624,0.0004023465,0.004347793],"genre_scores_gemma":[0.00122183,0.0005907221,0.0007346715,0.0003129785,0.00002426769,0.0001648372,0.9942813,0.00008988382,0.002579583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1257931,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099049131524638,"score_gpt":0.4512332216793643,"score_spread":0.4402427303641179,"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."}}