{"id":"W7095102672","doi":"","title":"0. REFERENCES ii Acknowledgements","year":2008,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gratitude; Government (linguistics); Representation (politics); Natural (archaeology); Presentation (obstetrics); Luck; The Internet","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00125545,0.0007955623,0.0004571749,0.003767049,0.001562433,0.002595897,0.001335896,0.00110431,0.2550116],"category_scores_gemma":[0.02111384,0.0002792809,0.0005962612,0.002490714,0.0005504188,0.002449614,0.001976399,0.001824669,0.2000417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002832469,"about_ca_system_score_gemma":0.001883716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008890721,"about_ca_topic_score_gemma":0.005848971,"domain_scores_codex":[0.9977919,0.000385679,0.000202548,0.0002744994,0.001215325,0.000130105],"domain_scores_gemma":[0.9863285,0.001901853,0.0006725781,0.001041764,0.009445924,0.0006093732],"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":[0.00001706145,0.000009695878,0.0002251166,0.0001950878,0.000003188488,0.0001378242,0.0002384661,0.00007033297,0.0002086904,0.01414914,0.9435508,0.04119477],"study_design_scores_gemma":[0.000001830346,0.000003157185,0.0002385568,0.0002303161,0.000002102088,0.000152621,0.0001292504,0.00004647292,0.00009426635,0.002591917,0.9965034,0.000006184405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001416648,0.01520797,0.0177267,0.0484856,0.09339334,0.000639599,0.01699905,0.002227512,0.8039035],"genre_scores_gemma":[0.02179756,0.01144394,0.0175941,0.01151179,0.02264455,0.0005749275,0.02606044,0.002013953,0.8863587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7449884,"threshold_uncertainty_score":0.8530989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05883708542906552,"score_gpt":0.2978041432497719,"score_spread":0.2389670578207064,"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."}}