{"id":"W4220904106","doi":"10.18280/ts.390124","title":"A Rapid Advancing Image Segmentation Approach in Dental to Predict Cryst","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curvature; Segmentation; Process (computing); Line (geometry); Computer science; Feature (linguistics); Artificial intelligence; Computer vision; Pixel; Categorization; Image segmentation; Voronoi diagram; Mathematics","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":[0.001049481,0.0009211786,0.001031727,0.003630099,0.0008560451,0.002415515,0.001696651,0.001746937,0.004921149],"category_scores_gemma":[0.002468894,0.0009049437,0.001700137,0.002240566,0.001111797,0.001227105,0.00138824,0.001401286,0.002765889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301335,"about_ca_system_score_gemma":0.002316791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01285622,"about_ca_topic_score_gemma":0.01360592,"domain_scores_codex":[0.9991685,0.00008858634,0.00004926376,0.0002486582,0.0003489676,0.00009598521],"domain_scores_gemma":[0.9991664,0.000288011,0.00008497186,0.0001053083,0.0003029928,0.00005242888],"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":[0.0001758494,0.0001200759,0.002336014,0.0002789616,0.0001111162,0.0003078968,0.0003490312,0.1934172,0.03284844,0.03040987,0.01017501,0.7294705],"study_design_scores_gemma":[0.000009230494,0.00005523975,0.0006879385,0.0000390264,0.00002966037,0.0001845439,0.00006326321,0.9651955,0.008825538,0.0113258,0.01355582,0.00002840471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004582468,0.0008253314,0.9899121,0.0002850102,0.0001091363,0.00009804844,0.0001466828,0.001855343,0.00218591],"genre_scores_gemma":[0.09243304,0.001178119,0.8973134,0.0002738939,0.0001831703,0.0001714597,0.0007071909,0.0004431751,0.007296651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01285622,"threshold_uncertainty_score":0.02556276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056031599377675,"score_gpt":0.2447071141850691,"score_spread":0.2341467981912924,"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."}}