{"id":"W2343292562","doi":"10.1177/2380084416645291","title":"Digital Imaging Capability for Caries Detection","year":2016,"lang":"en","type":"article","venue":"JDR Clinical & Translational Research","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Gold standard (test); Dentistry; Medicine; Enamel paint; Dentin; Meta-analysis; Digital radiography; Homogeneous; Digital image analysis; Orthodontics; Radiography; Computer science; Pathology; Radiology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.01034134,0.001409811,0.003492925,0.009651758,0.0004312937,0.003104882,0.001540211,0.002160136,0.005729285],"category_scores_gemma":[0.03867771,0.00102846,0.005962377,0.006311239,0.001362916,0.002441387,0.001316365,0.001845572,0.0006930729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741069,"about_ca_system_score_gemma":0.001795527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886545,"about_ca_topic_score_gemma":0.004375703,"domain_scores_codex":[0.9856523,0.006356891,0.00280014,0.00137873,0.003629215,0.0001827356],"domain_scores_gemma":[0.957404,0.03250788,0.006039969,0.0008502492,0.003034377,0.0001634873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001361677,0.00013606,0.02198182,0.3469535,0.02093589,0.0001863565,0.0003215855,0.0006032908,0.00181432,0.004185872,0.006780139,0.5947396],"study_design_scores_gemma":[0.001083543,0.003320344,0.1236861,0.3751071,0.1548151,0.01114475,0.00139384,0.003019058,0.01162194,0.01643694,0.2977578,0.0006135248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001656818,0.995736,0.00069924,0.0002762366,0.0001465627,0.00004921358,0.0002402463,0.0000116344,0.001183958],"genre_scores_gemma":[0.1041722,0.8845114,0.008056417,0.001169461,0.00067493,0.0002348323,0.0004725714,0.00001794096,0.0006902541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034134,"threshold_uncertainty_score":0.0546909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408563333409488,"score_gpt":0.4763740772077307,"score_spread":0.3355177438667819,"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."}}