{"id":"W2115284809","doi":"","title":"بازیابی مدلهای سه بعدی با استفاده از ضرایب پیشگویی خطی در نگاشت های استوانه ای با تعمیم نگاشت بر روی سه استوانه متعامد","year":2014,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255018,0.001004838,0.0005465137,0.001587471,0.002636227,0.004998168,0.0008432122,0.001822991,0.08289854],"category_scores_gemma":[0.004491138,0.0008455866,0.000700403,0.001645387,0.002182801,0.003518901,0.002308147,0.002624857,0.05015238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002304038,"about_ca_system_score_gemma":0.005149097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005932683,"about_ca_topic_score_gemma":0.005836141,"domain_scores_codex":[0.9978416,0.0002604821,0.000175145,0.0003447897,0.001119942,0.0002580381],"domain_scores_gemma":[0.9970266,0.0004427982,0.00036955,0.0002421196,0.001665965,0.0002529744],"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":[0.001761839,0.0004265118,0.007647993,0.003195881,0.0001478383,0.004946373,0.01307063,0.003293666,0.1820602,0.2435338,0.09462607,0.4452891],"study_design_scores_gemma":[0.00009632883,0.0002563935,0.01429455,0.0008152319,0.0001169789,0.002282665,0.01291081,0.003503485,0.09225366,0.04490087,0.8282948,0.0002742021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1034897,0.008563411,0.1130434,0.009432949,0.003942147,0.0006085211,0.001606323,0.002127647,0.7571858],"genre_scores_gemma":[0.3458309,0.01237919,0.1059736,0.002504741,0.0007630434,0.001041141,0.002495519,0.002241917,0.52677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08289854,"threshold_uncertainty_score":0.2773232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005286501463810896,"score_gpt":0.1811942080541787,"score_spread":0.1759077065903678,"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."}}