{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002738883,0.0001163862,0.0001941524,0.0001760203,0.0003370391,0.0002136121,0.0002481618,0.0000975894,0.0002234728],"category_scores_gemma":[0.00257389,0.00008606213,0.0004308629,0.0003375241,0.0007931119,0.0007854224,0.00003612853,0.0003524381,0.0002457436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022288,"about_ca_system_score_gemma":0.0001118023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000291566,"about_ca_topic_score_gemma":0.000116463,"domain_scores_codex":[0.9973556,0.0002170051,0.0006062044,0.0005100782,0.0008434681,0.0004676747],"domain_scores_gemma":[0.9925801,0.006449742,0.00005047988,0.0002764531,0.0004602027,0.0001830717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004237315,0.0001477521,0.4368474,0.0000245857,0.00003995261,0.000006622589,0.00002471001,8.067156e-7,0.001745979,0.001551163,0.0007384378,0.5584489],"study_design_scores_gemma":[0.002385471,0.0001303752,0.8750792,0.00005810128,0.0000189459,0.00002283807,0.00007858506,0.0009225982,0.00129885,0.05267583,0.06710306,0.0002261945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253391,0.0004437589,0.148892,0.005962431,0.001577121,0.001149998,0.0008000696,0.0001966806,0.01563884],"genre_scores_gemma":[0.9976007,0.00001367434,0.0004743767,0.00004511469,0.0005205536,0.00006821767,0.00002513549,0.00002185793,0.001230344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582227,"threshold_uncertainty_score":0.3509512,"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."}}