{"id":"W7002285134","doi":"","title":"The Monster in Her Blood","year":2023,"lang":"en","type":"dissertation","venue":"Skemman","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monster; Ridiculous; Point (geometry); Perspective (graphical)","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":[0.0001160908,0.0001137821,0.0001586053,0.00006974143,0.00005300538,0.00002175081,0.00009067703,0.0001668534,0.00002199456],"category_scores_gemma":[0.0003616554,0.00007594565,0.00006357666,0.0001420858,0.00001675005,0.00001279145,0.0000162634,0.0003273428,0.0002656165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001568355,"about_ca_system_score_gemma":0.00006399106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003492122,"about_ca_topic_score_gemma":0.003129454,"domain_scores_codex":[0.9992915,0.00001761087,0.0001656524,0.0001557498,0.0001829462,0.0001865201],"domain_scores_gemma":[0.9994186,0.0002117059,0.00004608226,0.0002404928,0.00002912107,0.00005400986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002743216,0.001206769,0.2419291,0.002463622,0.001477488,0.006951642,0.0112175,0.00003416983,0.001350711,0.008091,0.2506575,0.4718773],"study_design_scores_gemma":[0.001965367,0.0002472762,0.9659441,0.002130964,0.0004011318,0.00002366641,0.002130055,0.00006297838,0.001772736,0.001457988,0.0235091,0.0003546253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111002,0.001396243,5.670083e-7,0.0004943149,0.0008385781,0.0003188488,0.000009845648,0.0001203481,0.08572102],"genre_scores_gemma":[0.8092973,0.0004966027,0.00005105586,0.0001610291,0.0003626439,0.00007215229,0.001162474,0.00006982434,0.1883269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7240151,"threshold_uncertainty_score":0.3414052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656990365684224,"score_gpt":0.2927421282300184,"score_spread":0.2761722245731762,"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."}}