{"id":"W4390747163","doi":"10.53555/jptcp.v31i1.4009","title":"NOVEL IMAGINING TECHNIQUES FOR EARLY DETECTION OF DENTAL CARRIES","year":2024,"lang":"en","type":"article","venue":"","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Montmorency","funders":"","keywords":"Modality (human–computer interaction); Optical coherence tomography; Modalities; Medical physics; Dental research; Imaging technology; Medicine; Dentistry; Computer science; Data science; Artificial intelligence; Radiology","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":[0.004116313,0.001013279,0.0007731796,0.004627936,0.0005597338,0.002595284,0.001218929,0.001312312,0.006237764],"category_scores_gemma":[0.00507468,0.0004542499,0.0009603373,0.001504205,0.001425105,0.002302159,0.001169972,0.001529041,0.00154248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007564609,"about_ca_system_score_gemma":0.001286905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006444486,"about_ca_topic_score_gemma":0.001412141,"domain_scores_codex":[0.9984903,0.0004774074,0.00010556,0.0001900056,0.0006337463,0.0001029594],"domain_scores_gemma":[0.9970795,0.001390599,0.0005384811,0.0001984287,0.0006997145,0.00009329464],"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":[0.0009201171,0.000430932,0.01820603,0.01030565,0.0002668417,0.001643485,0.0008941802,0.0005303586,0.1031562,0.007622647,0.006730421,0.8492932],"study_design_scores_gemma":[0.0003397469,0.005304039,0.09607504,0.01209393,0.003176828,0.06677429,0.006086542,0.01672514,0.3727269,0.02470137,0.3954358,0.0005604207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1215693,0.6795591,0.1514961,0.007921321,0.002953631,0.0008074539,0.0005581241,0.0007576327,0.03437728],"genre_scores_gemma":[0.4413157,0.3377683,0.2039505,0.002483847,0.002695183,0.0004712781,0.0003090671,0.0001609159,0.01084523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006237764,"threshold_uncertainty_score":0.0217694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210990178804154,"score_gpt":0.2822723979159973,"score_spread":0.2701624961279557,"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."}}