{"id":"W4392500811","doi":"","title":"Lips contours segmentation based on Region-contour algorithm","year":2010,"lang":"fr","type":"preprint","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Nasal Surgery and Airway Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science; Computer vision; Algorithm; Pattern recognition (psychology); Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001065409,0.0009121169,0.001001172,0.002325479,0.0004680273,0.002027673,0.001302966,0.001706474,0.006036783],"category_scores_gemma":[0.001636222,0.0007636855,0.00156321,0.001203133,0.0006386075,0.001539727,0.00104337,0.001037295,0.003463982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007094676,"about_ca_system_score_gemma":0.001212474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003973291,"about_ca_topic_score_gemma":0.003746508,"domain_scores_codex":[0.9993185,0.00007435827,0.00004388314,0.0001981205,0.0002849422,0.00008027719],"domain_scores_gemma":[0.9994367,0.0001370809,0.00005158611,0.0001018699,0.0002397947,0.00003295521],"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":[0.0006449051,0.00009294798,0.001563301,0.0004363663,0.0001084721,0.0003422584,0.0003105108,0.07567869,0.1454849,0.009515523,0.006383231,0.7594389],"study_design_scores_gemma":[0.00005539333,0.0001501962,0.002389639,0.00009421258,0.0000747317,0.000421938,0.0001245054,0.8860589,0.08692891,0.005887507,0.01774525,0.00006866764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01309445,0.0006629457,0.9808142,0.0001624513,0.0000841982,0.0001513521,0.0001724904,0.002289564,0.002568336],"genre_scores_gemma":[0.1201633,0.000995488,0.8672329,0.0001587113,0.00006936036,0.0002276243,0.0009769097,0.0007672123,0.009408526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006036783,"threshold_uncertainty_score":0.02019507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761283232845983,"score_gpt":0.2929666775563496,"score_spread":0.2653538452278897,"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."}}