{"id":"W4250456593","doi":"10.1515/iupac.88.1045","title":"Mesonephros","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; Data mining; Philosophy","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":[0.0009249891,0.001205734,0.001229547,0.002937331,0.0006638764,0.001963587,0.001698033,0.001325157,0.08664418],"category_scores_gemma":[0.006511144,0.0005922771,0.001526671,0.004301134,0.000372715,0.001475663,0.001652597,0.001595744,0.06760702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033953,"about_ca_system_score_gemma":0.002287287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346073,"about_ca_topic_score_gemma":0.02249992,"domain_scores_codex":[0.9989531,0.0001461148,0.0002227543,0.0003576837,0.0002045649,0.0001156526],"domain_scores_gemma":[0.9967991,0.001106268,0.0006061135,0.0007261594,0.0005923163,0.0001699128],"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":[0.0005516299,0.00003709683,0.005182808,0.004856821,0.0001381957,0.0001535841,0.00005374185,0.0005418456,0.000509612,0.001595874,0.964865,0.02151369],"study_design_scores_gemma":[0.0002100239,0.00002958368,0.01036735,0.001245751,0.00009061789,0.0002946036,0.00006972295,0.0001656952,0.0004895465,0.002077196,0.9849247,0.000035088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002748653,0.0003876629,0.0001760775,0.0000661312,0.00003938975,0.00002473437,0.9970614,0.0001949747,0.001774805],"genre_scores_gemma":[0.001106648,0.0005380397,0.0005806888,0.0001707958,0.00001753262,0.0001530568,0.9954056,0.00007424002,0.001953467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08664418,"threshold_uncertainty_score":0.2898536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191449418979297,"score_gpt":0.4584052628930018,"score_spread":0.4464907687032089,"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."}}