{"id":"W4406550189","doi":"10.1016/s1541-9800(05)70608-6","title":"10.1016/s1541-9800(05)70608-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bearing (navigation); Weight-bearing; Medicine; Computer science; Artificial intelligence; Radiology","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":[0.001126964,0.002579516,0.001611602,0.002714481,0.002296406,0.003417067,0.00305269,0.005163749,0.9876482],"category_scores_gemma":[0.001743334,0.0008245123,0.001391949,0.0023087,0.001545764,0.004601615,0.003009403,0.002545742,0.9918678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937505,"about_ca_system_score_gemma":0.001099115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290766,"about_ca_topic_score_gemma":0.002710973,"domain_scores_codex":[0.9993311,0.00004345039,0.00005578039,0.0002317448,0.0001894204,0.0001484946],"domain_scores_gemma":[0.9973563,0.0006818013,0.000181504,0.0002728645,0.0006391982,0.0008683185],"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":[0.0003732708,0.0001980125,0.0007866473,0.0005601749,0.00003569026,0.0002664235,0.00009723839,0.0004076035,0.002761891,0.005238018,0.3048949,0.6843802],"study_design_scores_gemma":[0.00004924539,0.0001129278,0.0006797274,0.00025043,0.00001336709,0.000396733,0.00009339547,0.0002336155,0.0005476805,0.0006515458,0.9969489,0.0000224884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005124555,0.0004719493,0.001027111,0.0004138364,0.0003585524,0.0001104687,0.0007071993,0.001038554,0.9953598],"genre_scores_gemma":[0.0006215135,0.0001901768,0.0004484548,0.0001838958,0.00007672758,0.00004925305,0.0003581895,0.0001638032,0.9979079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01235175,"threshold_uncertainty_score":0.01761818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007726340686491013,"score_gpt":0.2332747762499056,"score_spread":0.2255484355634146,"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."}}