{"id":"W6926497474","doi":"10.22008/fk2/mqds1l/nmwjzm","title":"code_share_time_series_analysis-2.zip","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Component (thermodynamics); Sample (material); Monte Carlo method; Code (set theory); Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008809739,0.0009903942,0.0006921533,0.002686778,0.0003967709,0.00137152,0.001407572,0.0007966373,0.1967893],"category_scores_gemma":[0.005491805,0.0005577727,0.001025155,0.004623844,0.000180164,0.0008374362,0.001093942,0.000855442,0.1194504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000736499,"about_ca_system_score_gemma":0.00128417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02859268,"about_ca_topic_score_gemma":0.03411219,"domain_scores_codex":[0.9993615,0.00008848566,0.00008687513,0.0002121309,0.0001282837,0.0001228101],"domain_scores_gemma":[0.997607,0.0008014761,0.0003590647,0.0004554361,0.0005997332,0.0001772772],"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":[0.00007023186,0.00002282351,0.004430134,0.0003507058,0.00005417717,0.00001538584,0.00002078776,0.0005324832,0.00008603118,0.0006633316,0.9898315,0.00392253],"study_design_scores_gemma":[0.0003213302,0.00002926748,0.02480534,0.0002135004,0.00005484001,0.00005410974,0.00008966232,0.001020044,0.0004738389,0.001418494,0.9714802,0.00003934331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001736948,0.0000142914,0.0001426411,0.0000284608,0.00001397833,0.000009454269,0.998744,0.0002131419,0.0006603308],"genre_scores_gemma":[0.001439589,0.000037145,0.0005382554,0.00004542922,0.00001597002,0.0001097042,0.9949976,0.0002490396,0.002567153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8032107,"threshold_uncertainty_score":0.6583258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332965298536087,"score_gpt":0.2754778138617898,"score_spread":0.2421812840081811,"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."}}