{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007469133,0.001030201,0.00180348,0.0003367071,0.0007533847,0.0001758554,0.0007503795,0.0005174644,0.01045068],"category_scores_gemma":[0.01155559,0.0009481204,0.0005243957,0.0001906929,0.001325576,0.0001658168,0.0004898831,0.001149594,0.0002525815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345795,"about_ca_system_score_gemma":0.004457995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001801458,"about_ca_topic_score_gemma":0.0004941659,"domain_scores_codex":[0.9936521,0.0001640018,0.001007192,0.001063764,0.0029501,0.001162839],"domain_scores_gemma":[0.9938444,0.0005256223,0.0007578449,0.001931572,0.002058581,0.0008819217],"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":[0.001301135,0.001685727,0.0004035652,0.001855474,0.001418615,0.002082261,0.00006117827,0.00001748288,0.00001144516,0.000156165,0.9850951,0.005911823],"study_design_scores_gemma":[0.005140492,0.00118405,0.01449372,0.004215666,0.003009444,0.00009391507,0.0003295347,0.00005198254,0.000004428829,0.0003713099,0.9703364,0.0007691011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007544968,0.01773913,0.0001388118,0.003803166,0.00660733,0.0008944265,0.96898,0.00008209073,0.001000539],"genre_scores_gemma":[0.0006714999,0.005911278,0.0003747041,0.0005379663,0.006798837,0.00005783507,0.972625,0.0001204534,0.01290248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01475877,"threshold_uncertainty_score":0.9992969,"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."}}