{"id":"W4237722791","doi":"10.1515/iupac.88.1175","title":"Parasitic Twin","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Assisted Reproductive Technology and Twin Pregnancy","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":[0.0009723975,0.0008244416,0.00115423,0.002723481,0.001013571,0.002187717,0.001506958,0.001250984,0.1429103],"category_scores_gemma":[0.01330813,0.0004311654,0.001386324,0.005453059,0.0002789704,0.001878155,0.001991769,0.001525683,0.0682943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174195,"about_ca_system_score_gemma":0.002279744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01736962,"about_ca_topic_score_gemma":0.02927132,"domain_scores_codex":[0.9985885,0.0002675388,0.0003446824,0.0004258415,0.0002286009,0.0001448712],"domain_scores_gemma":[0.9963959,0.001022731,0.0006629942,0.000800481,0.0008964252,0.0002214515],"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":[0.0003011247,0.0000228481,0.008233257,0.002474378,0.0001063059,0.0001287413,0.00007505572,0.0001500824,0.00008824793,0.002709927,0.9607183,0.02499166],"study_design_scores_gemma":[0.0001566056,0.00002029349,0.01253011,0.001972769,0.00008907967,0.0004733375,0.0001998603,0.0001738865,0.0001662758,0.003464893,0.9807199,0.00003283149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009114487,0.0009149087,0.0004238982,0.0004346085,0.0002046236,0.00008447723,0.9866486,0.0002187546,0.01015866],"genre_scores_gemma":[0.004704498,0.001524401,0.001349912,0.0009835579,0.0001032594,0.00039284,0.9812407,0.0001797973,0.009521087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1429103,"threshold_uncertainty_score":0.4780825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226890156239332,"score_gpt":0.4469805206462479,"score_spread":0.4242915050223147,"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."}}