{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008105345,0.000809029,0.0004677282,0.0006447113,0.005716516,0.005426704,0.0007460538,0.001701971,0.1087962],"category_scores_gemma":[0.003010757,0.0002856374,0.0002722345,0.0004207563,0.003827051,0.003811382,0.003486489,0.004349604,0.05650041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197861,"about_ca_system_score_gemma":0.002088759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006501057,"about_ca_topic_score_gemma":0.01380594,"domain_scores_codex":[0.999164,0.0002961207,0.00002168427,0.0001577406,0.0001964704,0.0001641097],"domain_scores_gemma":[0.999406,0.0001001924,0.00006227042,0.00008245668,0.0001443795,0.0002046162],"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":[0.00005416773,0.00002788749,0.0003303588,0.00007510152,0.000005237646,0.0004028282,0.01136698,0.00002453175,0.0002468616,0.1034653,0.850839,0.03316168],"study_design_scores_gemma":[0.000001187905,0.000006371185,0.00009749727,0.00005050182,6.284064e-7,0.0001350642,0.001902108,0.000006275808,0.00003234873,0.000868975,0.996896,0.000003127205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006287002,0.02284099,0.001261775,0.09152669,0.02854847,0.0000813579,0.000536123,0.0003944605,0.8485232],"genre_scores_gemma":[0.02858973,0.003310453,0.0003690896,0.01087735,0.002359003,0.00002730425,0.0001070389,0.0001693093,0.9541907],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1087962,"threshold_uncertainty_score":0.3639596,"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."}}