{"id":"W4245650838","doi":"10.1515/iupac.88.1055","title":"Microcheiria","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001641308,0.001332393,0.001284287,0.005173097,0.0009500178,0.003243983,0.002245563,0.001315902,0.1220662],"category_scores_gemma":[0.01224036,0.0006553961,0.00169674,0.008333993,0.0004793395,0.002555946,0.002983654,0.001830346,0.1369851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516702,"about_ca_system_score_gemma":0.003421124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540705,"about_ca_topic_score_gemma":0.031569,"domain_scores_codex":[0.9978726,0.0004125196,0.0004148949,0.0005825619,0.0004800998,0.000237254],"domain_scores_gemma":[0.9953855,0.001460058,0.0005849841,0.001175127,0.001112824,0.0002816067],"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":[0.00009328437,0.00001447733,0.001142492,0.001764347,0.00004178847,0.00002663853,0.00005110514,0.0001711882,0.0001382979,0.001325717,0.9873065,0.007924194],"study_design_scores_gemma":[0.00007743238,0.00001165112,0.002666223,0.000600218,0.0000225612,0.00004356423,0.00005798931,0.0001412273,0.0001556218,0.0009332894,0.9952725,0.00001780529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001319756,0.0001598749,0.0001304911,0.0001005395,0.00004631689,0.00002780733,0.9969895,0.000459272,0.001954294],"genre_scores_gemma":[0.000372221,0.0001943083,0.0004549991,0.0001226951,0.00001504565,0.0001711336,0.99709,0.0001378655,0.00144161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8779339,"threshold_uncertainty_score":0.408352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135047204441254,"score_gpt":0.456362485312853,"score_spread":0.4450120132684405,"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."}}