{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003984814,0.000390469,0.0005082667,0.00003558705,0.0003016513,0.0001258402,0.0009749096,0.0002335895,0.007866852],"category_scores_gemma":[0.0008158894,0.0003093155,0.0002173949,0.00006403097,0.0003375166,0.000122825,0.0007405496,0.0005199556,0.00006054518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177898,"about_ca_system_score_gemma":0.00008553752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865696,"about_ca_topic_score_gemma":0.001438835,"domain_scores_codex":[0.9975526,0.00004463956,0.0003070501,0.0005936619,0.0009914675,0.0005105461],"domain_scores_gemma":[0.9981186,0.00007776639,0.0003137856,0.001244638,0.00003037897,0.0002148374],"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":[0.000040596,0.000182321,0.0001933127,0.00003914203,0.00002878274,0.00009776222,0.000004836192,0.00000962902,0.0001190831,4.3212e-7,0.9960994,0.003184757],"study_design_scores_gemma":[0.0005515888,0.000113657,0.0004417148,0.00009075684,0.00008163152,0.00001343921,0.000003636786,0.000009216647,0.0001589868,0.00007302938,0.9980533,0.0004090499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006594359,0.0001369693,0.000004151929,0.0002998111,0.0005355478,0.0002609127,0.9914175,0.00005278831,0.0006979997],"genre_scores_gemma":[0.0002705067,0.0002442052,0.0001136364,0.000202165,0.0006831368,0.00001225553,0.9975966,0.00003346324,0.0008440375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007806307,"threshold_uncertainty_score":0.9999359,"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."}}