{"id":"W6960896512","doi":"10.1371/journal.pone.0246157.t003","title":"Canadian population data on <i>MZ</i>-twin concordance broken down by (<i>H+</i>)-haplotype and gender-status <sup>*</sup>.","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Concordance; Population; Genetic data; Epidemiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346701,0.001618346,0.001666009,0.003605684,0.003239308,0.002438873,0.004089776,0.001523654,0.09785968],"category_scores_gemma":[0.01147372,0.0009990142,0.001537629,0.01425618,0.0005417299,0.0008426046,0.001393193,0.002037301,0.03274494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01328619,"about_ca_system_score_gemma":0.03391899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9679921,"about_ca_topic_score_gemma":0.982855,"domain_scores_codex":[0.9987452,0.0001187517,0.0001140875,0.0003169725,0.0003830096,0.0003219539],"domain_scores_gemma":[0.9942391,0.0005801194,0.0003446813,0.0006964434,0.003616778,0.0005228081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000452127,0.000005413014,0.001588703,0.0003448898,0.0000449138,0.00001596949,0.00003452272,0.00009716418,0.00002537047,0.0005183001,0.9957297,0.001549749],"study_design_scores_gemma":[0.0004111771,0.00001246858,0.04658731,0.001059072,0.0001992546,0.000105469,0.0002881928,0.0002575541,0.0002294459,0.00112237,0.9496543,0.00007328112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000122775,0.00007057699,0.00003898988,0.00006547898,0.00002020334,0.00001101254,0.998804,0.00003306593,0.000833974],"genre_scores_gemma":[0.00202405,0.0001879154,0.0005325339,0.0001104724,0.00001391381,0.0001204771,0.9935982,0.00006531424,0.003347128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09785968,"threshold_uncertainty_score":0.3273733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010276762384148,"score_gpt":0.2568045445911304,"score_spread":0.206701776967289,"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."}}