{"id":"W4404593632","doi":"10.3390/app142310784","title":"Robust Segmentation of Partial and Imperfect Dental Arches","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","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":[0.0002573798,0.0000580702,0.00006740494,0.0001090317,0.0001051964,0.0001504497,0.00009348959,0.00001345203,0.00004918483],"category_scores_gemma":[0.000003613887,0.00004743809,0.00003409578,0.0003594381,0.0004216397,0.0001973757,0.00003620469,0.00004752795,0.00002579757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006711779,"about_ca_system_score_gemma":0.00001533774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000306068,"about_ca_topic_score_gemma":0.00001187149,"domain_scores_codex":[0.9993502,0.000011299,0.0001099435,0.0002044367,0.0002041016,0.0001200527],"domain_scores_gemma":[0.9998336,0.00006364865,0.00002215702,0.00004605644,0.000003889914,0.00003059529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003752501,0.00007709691,0.1916912,0.0002400843,0.00008235806,0.0000484787,0.002651883,0.0002614731,0.6767218,0.04470772,0.001330497,0.08214989],"study_design_scores_gemma":[0.0006806601,0.0002057659,0.156254,0.0001508503,0.0001191918,0.0003056878,0.01327305,0.01593985,0.8069194,0.004991606,0.0006572389,0.0005026433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909927,0.0006950871,0.0008115325,0.00001792326,0.00030642,0.00007586618,0.00000599997,0.00003812326,0.007056307],"genre_scores_gemma":[0.9990383,0.00001805157,0.000826711,0.00002198377,0.00004525498,0.000008251953,0.000002373016,0.000003378412,0.00003572839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301977,"threshold_uncertainty_score":0.1934469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890387598267271,"score_gpt":0.2845538537525521,"score_spread":0.2556499777698794,"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."}}