{"id":"W7067702899","doi":"","title":"The Modern Tall Tales Texans Tell Kids","year":2019,"lang":"en","type":"article","venue":"ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chose; White (mutation); Legend; Ridiculous; Ice cream; Mythology; Mistake; Quarter (Canadian coin)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000584472,0.0002344633,0.0003620032,0.0001021164,0.0005480072,0.00005815905,0.0007632294,0.000234527,0.0002748588],"category_scores_gemma":[0.0003252217,0.00015713,0.0003422396,0.0003225374,0.0004872144,0.0002140157,0.0003028047,0.0008769879,0.0004019302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006813234,"about_ca_system_score_gemma":0.000141497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004110533,"about_ca_topic_score_gemma":0.0001978196,"domain_scores_codex":[0.9983534,0.0001389335,0.0002126133,0.00035503,0.0005208671,0.0004192207],"domain_scores_gemma":[0.9978696,0.0006471356,0.000153743,0.0008807881,0.0001807802,0.0002679297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006462281,0.001349308,0.8343897,0.0004481576,0.002245104,0.000408626,0.004672534,0.006453268,0.003733394,0.008492337,0.05451841,0.07682689],"study_design_scores_gemma":[0.01426911,0.001268493,0.548971,0.001407406,0.001345876,0.0001441093,0.002455024,0.01249538,0.00110992,0.004424899,0.4109748,0.001133998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456221,0.002201655,0.002130215,0.003224792,0.0002931412,0.0008137454,0.00003578814,0.0001603152,0.04551826],"genre_scores_gemma":[0.977859,0.001083931,0.0006745331,0.0002202155,0.00007150917,3.205581e-7,0.00003104982,0.00002532925,0.02003408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3564563,"threshold_uncertainty_score":0.6407574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008779344001679628,"score_gpt":0.2030025746041844,"score_spread":0.1942232306025048,"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."}}