{"id":"W2734456438","doi":"","title":"О наведении камеры высокого разрешения, установленной на борту мкс, посредством двухосной поворотной платформы","year":2016,"lang":"ru","type":"article","venue":"Вестник Московского государственного технического университета им. Н.Э. Баумана. Серия «Приборостроение»","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International Space Station; Computer graphics (images); Computer vision; Surface (topology); Computer science; Point (geometry); Remote sensing; Artificial intelligence; Space (punctuation); Geodesy; Mathematics; Geography; Engineering; Geometry; Aerospace engineering","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":[0.0006896618,0.0003807825,0.0003348869,0.001375892,0.000794808,0.001868933,0.0003779985,0.0005349852,0.008535355],"category_scores_gemma":[0.00244189,0.0004353277,0.0003896243,0.00128708,0.001519918,0.001228754,0.0008081421,0.0008903056,0.00356133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000552302,"about_ca_system_score_gemma":0.001080965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979876,"about_ca_topic_score_gemma":0.003071932,"domain_scores_codex":[0.9989557,0.0001329696,0.0000637347,0.0002266415,0.0005558013,0.00006512626],"domain_scores_gemma":[0.9992307,0.0002600993,0.0001174594,0.0001500144,0.0002051182,0.00003663222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000111982,0.0000404803,0.002705072,0.0004200801,0.00004164691,0.00063886,0.00150016,0.005963619,0.05163101,0.274398,0.004260168,0.6582889],"study_design_scores_gemma":[0.00004396607,0.0001513176,0.009034855,0.0002184575,0.00009756513,0.002610899,0.001070799,0.01783924,0.0440005,0.2231144,0.701676,0.0001419173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06579775,0.01699376,0.7631269,0.001814081,0.001183483,0.0001158242,0.0004864624,0.0009802756,0.1495016],"genre_scores_gemma":[0.4454028,0.01405666,0.492855,0.0001927321,0.0005226592,0.0003091861,0.0003683623,0.0005257695,0.04576691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008535355,"threshold_uncertainty_score":0.02855361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108542974082412,"score_gpt":0.2198600294345289,"score_spread":0.2090057320262877,"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."}}