{"id":"W4401831121","doi":"10.18280/ria.380411","title":"Deep Learning Based Teeth Segmentation","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dice; Segmentation; Pooling; Pyramid (geometry); Computer science; Block (permutation group theory); Artificial intelligence; Intersection (aeronautics); Pattern recognition (psychology); Mathematics; Statistics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007818055,0.0008894226,0.001181141,0.00185964,0.000410846,0.001300842,0.001471829,0.001616542,0.005790317],"category_scores_gemma":[0.001437762,0.0006244762,0.001566746,0.001330089,0.000476948,0.0009151873,0.001156626,0.001103465,0.002458446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021811,"about_ca_system_score_gemma":0.001560801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006484385,"about_ca_topic_score_gemma":0.0106633,"domain_scores_codex":[0.9994193,0.0000486021,0.00003657175,0.0001817369,0.0001923347,0.0001214466],"domain_scores_gemma":[0.9996427,0.0001041287,0.00004146737,0.00005435885,0.0001326714,0.00002465778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003401645,0.0001386615,0.002072543,0.0003066891,0.000121957,0.0001674343,0.00008895173,0.1338568,0.02163203,0.00329228,0.01139061,0.826592],"study_design_scores_gemma":[0.00001764142,0.00006996293,0.001217797,0.0000463975,0.00005596079,0.0001973268,0.00003682697,0.9743276,0.01475134,0.003625154,0.005633017,0.00002092616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06142399,0.004593785,0.9108584,0.0008930477,0.0003656695,0.0002087677,0.001860512,0.008952199,0.01084362],"genre_scores_gemma":[0.5174261,0.002812298,0.4504643,0.001056535,0.0002530387,0.0002376265,0.00533833,0.0006302661,0.02178145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006484385,"threshold_uncertainty_score":0.01937056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623997328428134,"score_gpt":0.2958204384790945,"score_spread":0.2695804651948132,"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."}}