{"id":"W7012420069","doi":"","title":"ESSU July 25 2015","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Government (linguistics); Work (physics); League","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":[0.001209806,0.000508661,0.0004181327,0.001128873,0.002058747,0.005051728,0.0006687967,0.002334884,0.6693709],"category_scores_gemma":[0.005496018,0.0002535184,0.0003737112,0.0007196181,0.0007036448,0.001804654,0.002710155,0.002009617,0.5212671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969337,"about_ca_system_score_gemma":0.002139542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007107269,"about_ca_topic_score_gemma":0.02446279,"domain_scores_codex":[0.9991338,0.0001280211,0.00004467413,0.0001127477,0.0004003204,0.0001804526],"domain_scores_gemma":[0.9981128,0.0001953131,0.00006082377,0.0002001012,0.0008158039,0.0006152898],"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":[0.00002768653,0.00001517169,0.0001828139,0.00006059348,0.000001875736,0.00006472762,0.0000522935,0.00001903508,0.00007179189,0.003449144,0.9719689,0.02408594],"study_design_scores_gemma":[0.000001806425,0.000004923629,0.0002399585,0.00006417432,5.071066e-7,0.00002264293,0.00004122862,0.000009680311,0.00003571631,0.0002121483,0.9993655,0.000001797486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006617187,0.001549123,0.0003222426,0.009740321,0.01077563,0.0001039326,0.00371735,0.0006585777,0.9724711],"genre_scores_gemma":[0.001266611,0.0004460384,0.00008482494,0.001101485,0.0003599082,0.00001638404,0.0008879559,0.00009816742,0.9957386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3306291,"threshold_uncertainty_score":0.4716023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008945060839490367,"score_gpt":0.2165791913684695,"score_spread":0.2076341305289791,"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."}}