{"id":"W7095709955","doi":"","title":"Client Contract Number: DTPH56-08-T-000008-WP#355 by","year":2011,"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":"Warrant; Liability; Government (linguistics); Event (particle physics); Liability insurance; State government","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":["insufficient_payload"],"category_scores_codex":[0.001039203,0.000483084,0.0004742162,0.0007779599,0.00200753,0.003747603,0.001375517,0.002215285,0.8839344],"category_scores_gemma":[0.005188655,0.0003366272,0.0001988071,0.001559436,0.0006566547,0.001425105,0.001410655,0.001084663,0.8431266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562867,"about_ca_system_score_gemma":0.003568667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088015,"about_ca_topic_score_gemma":0.02111696,"domain_scores_codex":[0.9989687,0.0001309715,0.00004008234,0.000146451,0.0005898394,0.0001239517],"domain_scores_gemma":[0.9968022,0.0004476479,0.0001358297,0.0003918006,0.001540718,0.0006817703],"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":[0.00009367391,0.00007821675,0.0007245027,0.00009027521,0.000002749818,0.00005938511,0.0002441826,0.00005461956,0.0009657143,0.007156482,0.9168348,0.0736953],"study_design_scores_gemma":[0.00001490095,0.00001645511,0.0008848888,0.00006736664,0.000002271394,0.0001272692,0.0002430486,0.0002932209,0.0003921459,0.000427469,0.9975248,0.000006168385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006297206,0.0001006031,0.001298319,0.001159936,0.0002985211,0.0001769018,0.003117024,0.001070316,0.9921486],"genre_scores_gemma":[0.002963481,0.00008529465,0.0008947997,0.0001780564,0.00003599142,0.00004718484,0.001225371,0.0003273784,0.9942425],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1160656,"threshold_uncertainty_score":0.1655535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729061063241375,"score_gpt":0.2692906230374059,"score_spread":0.2420000124049922,"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."}}