{"id":"W2119879121","doi":"10.1109/tpami.2007.1157","title":"Localization of Shapes Using Statistical Models and Stochastic Optimization","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Concordia University","keywords":"Computer science; Artificial intelligence; Stochastic optimization; Pattern recognition (psychology); Mathematical optimization; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684537,0.001064896,0.001276445,0.001575034,0.0006080408,0.001635477,0.001818434,0.001586842,0.001568714],"category_scores_gemma":[0.005556247,0.001201492,0.001740905,0.001027107,0.00227884,0.002156326,0.001905341,0.001539655,0.0007191114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063951,"about_ca_system_score_gemma":0.001551871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006446459,"about_ca_topic_score_gemma":0.005836214,"domain_scores_codex":[0.9990946,0.0003269562,0.00003902471,0.0001836743,0.0002948521,0.00006086102],"domain_scores_gemma":[0.9972538,0.001811415,0.0003697812,0.0002186761,0.0002529237,0.00009340782],"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":[0.00001434437,0.00001173531,0.0002326806,0.00002781153,0.000024154,0.00002990014,0.00002847389,0.9392797,0.0007256764,0.05046485,0.0003393267,0.008821288],"study_design_scores_gemma":[0.000002687992,0.000004766635,0.0000399147,0.000002909826,0.000002175822,0.000009451143,0.000002590781,0.982751,0.0001111407,0.01682751,0.0002393882,0.000006544911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002095588,0.00007108183,0.9971147,0.0001328997,0.000007672484,0.0000100855,0.00001933758,0.00009067124,0.0004579163],"genre_scores_gemma":[0.3991267,0.001249252,0.5860507,0.0003933848,0.0002627352,0.0006260826,0.0005400365,0.0005690836,0.01118197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006446459,"threshold_uncertainty_score":0.01497501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316406237670462,"score_gpt":0.287381107334764,"score_spread":0.2642170449580594,"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."}}