{"id":"W4252633082","doi":"10.1515/iupac.88.0409","title":"Adolescence","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":[0.0003806501,0.0004108717,0.0004862934,0.00003654197,0.0002848677,0.0001171141,0.001197748,0.0002332506,0.00730557],"category_scores_gemma":[0.0009244084,0.0003232431,0.0001770635,0.00006470127,0.0004421492,0.0001212966,0.0007599926,0.0006422777,0.00006807938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972665,"about_ca_system_score_gemma":0.00007798018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009436164,"about_ca_topic_score_gemma":0.0009606067,"domain_scores_codex":[0.9974862,0.00004289689,0.0003029452,0.0006333659,0.001030279,0.0005043459],"domain_scores_gemma":[0.9979614,0.00006269747,0.0003386365,0.001386861,0.0000358383,0.0002145941],"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":[0.00002633925,0.0001672039,0.0003359626,0.000071558,0.0000163032,0.0001192885,0.000003303111,0.000009062333,0.00008337051,2.383129e-7,0.9965314,0.002635972],"study_design_scores_gemma":[0.0003322179,0.00008010701,0.0006829742,0.0002706551,0.00006312134,0.00001816346,0.000003766953,0.000009782856,0.00009722363,0.00005146007,0.9979631,0.00042738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001495729,0.0001592909,0.000006027236,0.0002532814,0.0004385815,0.0002173624,0.9969495,0.00005133213,0.0004288782],"genre_scores_gemma":[0.0002314052,0.0004604381,0.0001032642,0.0002450224,0.000445017,0.000008615525,0.9977012,0.00002932229,0.0007756865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007237491,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179060804470825,"score_gpt":0.4518422443811463,"score_spread":0.440051636336438,"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."}}