{"id":"W6997681579","doi":"","title":"ÐÑÑиÑление опÑиÑеÑкого поÑока","year":2016,"lang":"en","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Displacement (psychology); Flow (mathematics); Image processing; Optical flow; Point (geometry)","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":[],"consensus_categories":[],"category_scores_codex":[0.000458713,0.0002997869,0.0003321653,0.0007177668,0.0009414913,0.0001941263,0.002122226,0.00005749639,0.0001389709],"category_scores_gemma":[0.00007917071,0.0002422598,0.0003139208,0.001252058,0.0006489264,0.001783103,0.0008724806,0.0002904827,0.0001877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003163546,"about_ca_system_score_gemma":0.0005121076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003014889,"about_ca_topic_score_gemma":0.00009171609,"domain_scores_codex":[0.9966648,0.0002187763,0.0003015459,0.001042174,0.0005989385,0.001173787],"domain_scores_gemma":[0.9981558,0.0002342061,0.0002374678,0.0008962618,0.0001867416,0.0002895368],"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":[0.0001719674,0.0001800499,0.0006197032,0.00001773659,0.00009376901,0.00008393777,0.0007135843,0.00003556669,0.4129061,0.4305319,0.007177194,0.1474684],"study_design_scores_gemma":[0.004992279,0.0009918573,0.002539324,0.0003081827,0.00005660232,0.0001202432,0.0005111892,0.01774378,0.06155228,0.09801599,0.8113968,0.001771445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07918572,0.0002572968,0.890055,0.004020451,0.001254402,0.0004312916,0.00004802695,0.0004385877,0.0243092],"genre_scores_gemma":[0.9361873,0.00006964819,0.01564947,0.0001486989,0.00006993375,9.684537e-7,0.00001825396,0.000022797,0.04783291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8744056,"threshold_uncertainty_score":0.9879069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006736255416920062,"score_gpt":0.1976201771950436,"score_spread":0.1908839217781236,"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."}}