{"id":"W4406478059","doi":"10.1016/j.yvas.2013.11.003","title":"10.1016/j.yvas.2013.11.003","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Ultrasound; Contrast (vision); Radiology; Cardiology; Internal medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005434489,0.001011809,0.0005420421,0.001474427,0.0008239142,0.002232164,0.0008610336,0.00306571,0.8788494],"category_scores_gemma":[0.001296063,0.0003798253,0.0005554137,0.0006133529,0.0006982088,0.002168452,0.001135275,0.001679355,0.8355868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007523524,"about_ca_system_score_gemma":0.001068458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237314,"about_ca_topic_score_gemma":0.002439453,"domain_scores_codex":[0.9997361,0.00002145353,0.00002450498,0.00007058401,0.00007263986,0.00007452782],"domain_scores_gemma":[0.9992085,0.0001170743,0.0001027817,0.00003961634,0.0001608641,0.0003711729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002854202,0.0002811592,0.006827434,0.0004498056,0.0000417445,0.0006880368,0.00009316149,0.000224718,0.0007372785,0.003756463,0.3214502,0.6651645],"study_design_scores_gemma":[0.0000670534,0.000123867,0.006090879,0.001042514,0.0000403782,0.005769262,0.0002534443,0.0002446031,0.0004534017,0.003523186,0.9823622,0.00002930134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008037055,0.02228905,0.002441707,0.01451166,0.004510359,0.00009800306,0.003251297,0.001921474,0.9429395],"genre_scores_gemma":[0.01932636,0.008595744,0.001977447,0.003369171,0.001824555,0.00007900246,0.001938163,0.0003278824,0.9625616],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1211506,"threshold_uncertainty_score":0.1728066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004424554967769222,"score_gpt":0.1780358981487017,"score_spread":0.1736113431809325,"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."}}