{"id":"W4242160246","doi":"10.1515/iupac.88.1240","title":"Primordial Follicle","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":[],"consensus_categories":[],"category_scores_codex":[0.0009038459,0.001127926,0.001248476,0.003139538,0.0007632457,0.002144977,0.001728661,0.001090696,0.07460843],"category_scores_gemma":[0.005921041,0.0005675139,0.001765096,0.004069552,0.0003437732,0.001523415,0.00164318,0.001328965,0.05661299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114263,"about_ca_system_score_gemma":0.002231986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407296,"about_ca_topic_score_gemma":0.0263742,"domain_scores_codex":[0.9990841,0.0001081842,0.0002017079,0.0002946727,0.0001998317,0.0001114092],"domain_scores_gemma":[0.9976615,0.0007800133,0.0004384818,0.0005199678,0.0004604709,0.0001395256],"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":[0.0003710509,0.00002555546,0.006476521,0.004989204,0.0001153437,0.0001160935,0.00007242234,0.0005146356,0.000746012,0.001234759,0.9543701,0.03096819],"study_design_scores_gemma":[0.0001538474,0.00002686973,0.01239874,0.001153234,0.00008491612,0.000304849,0.00007658542,0.0002168,0.0004900717,0.00159715,0.9834666,0.00003026937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004795661,0.0008867445,0.0003101706,0.0001097032,0.00008040099,0.00005191608,0.9949175,0.0003646762,0.002799399],"genre_scores_gemma":[0.002071138,0.001010577,0.001317617,0.0002264952,0.00002987147,0.0002244944,0.9926943,0.0001125021,0.002313162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07460843,"threshold_uncertainty_score":0.24959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174589686226847,"score_gpt":0.4578291918132664,"score_spread":0.446083294950998,"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."}}