{"id":"W1552501323","doi":"","title":"تخمین حالت و همتراز سازی مدل های سه بعدی با کمینه سازی تابع خطا در تصاویر سایه نما","year":2013,"lang":"fa","type":"article","venue":"مجله ماشین بینایی و پردازش تصویر","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0008727357,0.002159218,0.002050064,0.0009219584,0.0009310392,0.0004785937,0.002510526,0.002666558,0.01266317],"category_scores_gemma":[0.0002872353,0.002261846,0.0008998754,0.001533326,0.001185874,0.001848395,0.0007250151,0.003397444,0.01910508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403666,"about_ca_system_score_gemma":0.0003240242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386024,"about_ca_topic_score_gemma":0.0009372038,"domain_scores_codex":[0.99088,0.0003459104,0.002158443,0.002128631,0.001082299,0.003404707],"domain_scores_gemma":[0.9945244,0.0005046448,0.0003829838,0.003322944,0.000368455,0.0008966094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004339317,0.002168795,0.01813767,0.004171956,0.004304473,0.001522706,0.01107545,0.0145691,0.02149043,0.4287762,0.3919332,0.1014161],"study_design_scores_gemma":[0.01099361,0.003222588,0.07546899,0.002967541,0.001984787,0.0008886089,0.01789268,0.08359491,0.01614307,0.1618862,0.6100612,0.01489579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5473258,0.04087022,0.003702814,0.008099731,0.009555804,0.003769993,0.00058829,0.006593008,0.3794943],"genre_scores_gemma":[0.9718388,0.003469427,0.002764187,0.0006824901,0.001460991,0.0004572302,0.0002342997,0.0004314401,0.01866116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4245129,"threshold_uncertainty_score":0.9991149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005903389617074649,"score_gpt":0.1761932725680336,"score_spread":0.170289882950959,"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."}}