{"id":"W4255478730","doi":"10.1515/iupac.88.1211","title":"Pluripotent","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":[0.0003977449,0.0004277406,0.0005186694,0.000040577,0.000297424,0.0001217408,0.001040759,0.0002373652,0.01057438],"category_scores_gemma":[0.0007734986,0.0003278827,0.0002183208,0.0000553208,0.0003646048,0.0001036536,0.0007969971,0.0005882407,0.00006902777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379762,"about_ca_system_score_gemma":0.00007242624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423391,"about_ca_topic_score_gemma":0.001058053,"domain_scores_codex":[0.9973748,0.00004186767,0.000328861,0.0006255198,0.001113078,0.0005158651],"domain_scores_gemma":[0.9979504,0.00006484937,0.0003457719,0.001375701,0.00003522144,0.0002280016],"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":[0.00002782105,0.0001817603,0.00007671567,0.0000530616,0.00003121821,0.0001518952,0.000004075153,0.00001975643,0.00006112036,3.366293e-7,0.9965912,0.002801062],"study_design_scores_gemma":[0.0004206107,0.0001025456,0.0002580561,0.0001444609,0.00008910279,0.00002124405,0.000004064773,0.00001183404,0.00008583444,0.00007791573,0.9983519,0.0004323804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00169273,0.0002268792,0.000004556837,0.0004041082,0.0005361898,0.0002445885,0.9962788,0.00005178786,0.0005603149],"genre_scores_gemma":[0.00009880227,0.0004988653,0.00009926073,0.0002299319,0.0004986494,0.00001194795,0.9972836,0.0000325789,0.001246395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01050535,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186760350417021,"score_gpt":0.4490197951127894,"score_spread":0.4371521916086192,"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."}}