{"id":"W3107405636","doi":"10.18280/ria.340502","title":"Intensity Profiles in Active Shape Model","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Active shape model; Computer science; Landmark; Intensity (physics); Active appearance model; Segmentation; Matching (statistics); Simplicity; Artificial intelligence; Process (computing); Computer vision; Image (mathematics); Mathematics; Physics","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":[0.001134094,0.0008340203,0.0008903612,0.001109392,0.0003569888,0.002046418,0.002076737,0.002440748,0.003934759],"category_scores_gemma":[0.003028661,0.0007244505,0.001191139,0.001730629,0.001366944,0.003008422,0.001364265,0.001922839,0.002421286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007828884,"about_ca_system_score_gemma":0.0006633559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980162,"about_ca_topic_score_gemma":0.001071284,"domain_scores_codex":[0.9992468,0.0001676831,0.00004273144,0.000155704,0.0003394101,0.00004768228],"domain_scores_gemma":[0.9992446,0.0003480764,0.00008135444,0.0001093674,0.0001773203,0.0000392797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001208149,0.00006660209,0.000713914,0.000399555,0.00006782418,0.0002358827,0.0002847295,0.4357023,0.01463582,0.3260002,0.00715538,0.2146171],"study_design_scores_gemma":[0.00001243162,0.00003045104,0.0001846464,0.00004201062,0.0000190579,0.0001557046,0.00002500321,0.9033455,0.003130952,0.07795504,0.01506885,0.0000305063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001322955,0.0008158997,0.9940614,0.0001949446,0.00005956872,0.00002746805,0.00006427697,0.0002213175,0.003232167],"genre_scores_gemma":[0.3524431,0.006490512,0.6170673,0.0008488101,0.0005036329,0.0004622825,0.0009425555,0.000656036,0.02058583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003934759,"threshold_uncertainty_score":0.01316315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865083618006251,"score_gpt":0.3075503118326243,"score_spread":0.2288994756525617,"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."}}