{"id":"W4234278511","doi":"10.1515/iupac.88.1436","title":"Triploidy","year":2017,"lang":"fr","type":"dataset","venue":"IUPAC Standards Online","topic":"Gestational Trophoblastic Disease Studies","field":"Medicine","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":[0.002426446,0.001289056,0.001609828,0.006454447,0.000956088,0.003378145,0.002109329,0.001757442,0.2109304],"category_scores_gemma":[0.02367755,0.0007282163,0.001911861,0.01065802,0.0005942536,0.002452165,0.003135483,0.001770916,0.1318325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448612,"about_ca_system_score_gemma":0.003082464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008814416,"about_ca_topic_score_gemma":0.01384396,"domain_scores_codex":[0.9970362,0.0005428822,0.0009282082,0.0007119039,0.0004962551,0.0002845095],"domain_scores_gemma":[0.9905501,0.003896009,0.001299079,0.002000198,0.001806105,0.0004485985],"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":[0.0001763191,0.00001632711,0.0009460955,0.003713273,0.00006130128,0.00004615351,0.00005797544,0.000162676,0.0002232139,0.001218945,0.9837196,0.009658137],"study_design_scores_gemma":[0.00019961,0.0000183455,0.002696026,0.0009088156,0.00003223715,0.00008281985,0.00005760777,0.00007753709,0.0001698115,0.001281738,0.99445,0.00002549335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001175655,0.0001440997,0.0001465204,0.0001011292,0.00004718083,0.00005082583,0.9976132,0.0003083714,0.001471127],"genre_scores_gemma":[0.00053001,0.0002637726,0.0006886816,0.0002311548,0.00002425263,0.0004057628,0.9960788,0.000221741,0.001555776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2109304,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432334443235211,"score_gpt":0.4508725494513485,"score_spread":0.4265492050189964,"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."}}