{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009427593,0.0006716567,0.000391001,0.001273934,0.002571587,0.003996533,0.0006841175,0.001292872,0.05992616],"category_scores_gemma":[0.002937779,0.0006696683,0.0004571697,0.001398032,0.001902553,0.002570525,0.001627965,0.001984282,0.02169914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942873,"about_ca_system_score_gemma":0.004832432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135982,"about_ca_topic_score_gemma":0.0256062,"domain_scores_codex":[0.9987447,0.0001751718,0.000102672,0.0002504334,0.000613006,0.0001140239],"domain_scores_gemma":[0.9985979,0.0002454334,0.0001701636,0.0001138602,0.0007178537,0.0001547938],"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":[0.001204816,0.0005286621,0.008028558,0.001902236,0.0001140639,0.002458293,0.01574508,0.002075901,0.1916913,0.150449,0.04615641,0.5796459],"study_design_scores_gemma":[0.00009294942,0.0002626525,0.0188635,0.000481613,0.00008212746,0.001193437,0.01517659,0.001738875,0.09186772,0.03428761,0.8357559,0.0001969985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1169074,0.003880067,0.09013961,0.006299343,0.001195306,0.0006498426,0.001547729,0.001409031,0.7779717],"genre_scores_gemma":[0.3197053,0.00467984,0.1442011,0.001501184,0.0001407332,0.0008341766,0.001457108,0.001160273,0.5263202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05992616,"threshold_uncertainty_score":0.200473,"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."}}