{"id":"W4406500644","doi":"10.1016/s0029-7437(10)70097-5","title":"10.1016/s0029-7437(10)70097-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sterilization (economics); Implant; Dentistry; Medicine; Business; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001873313,0.0002142154,0.0003628795,0.0001362181,0.00004300904,0.00003926474,0.0001842848,0.00006625986,0.9987922],"category_scores_gemma":[0.0002409506,0.0001866028,0.00008346018,0.0003193857,0.0001023973,0.0001381378,0.00004435395,0.0001929319,0.9982729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007120799,"about_ca_system_score_gemma":0.00006091325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001322497,"about_ca_topic_score_gemma":4.341246e-8,"domain_scores_codex":[0.9985351,0.00002028394,0.0002818022,0.0003324627,0.000421029,0.0004093339],"domain_scores_gemma":[0.9988441,0.00006312302,0.00003242193,0.0005547535,0.0000993166,0.0004062199],"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":[0.0001660358,0.0001033994,4.729926e-7,0.00001916874,0.00002691503,0.00005241222,0.00001442739,0.000003645825,0.0001370799,3.881611e-7,0.7296157,0.2698603],"study_design_scores_gemma":[0.001009158,0.0005692501,0.0001204741,0.0001695535,0.0000811035,0.0001420214,0.000001956125,0.0001491393,0.0002528327,0.000008360952,0.9973053,0.0001908352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000956549,0.0001391276,0.000001177841,0.002416058,8.139995e-7,0.0003327983,0.00001005505,0.0003681558,0.9957753],"genre_scores_gemma":[0.0001914592,4.590792e-7,0.0004837596,0.0005943084,0.0004219822,0.00001969977,0.00005763016,0.00005850819,0.9981722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2696694,"threshold_uncertainty_score":0.7609442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008085895942115113,"score_gpt":0.214453154588953,"score_spread":0.2063672586468379,"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."}}