{"id":"W2062491335","doi":"10.1109/tvcg.2011.114","title":"Video Stereolization: Combining Motion Analysis with User Interaction","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Computer vision; Optical flow; Artificial intelligence; Stereoscopy; Structure from motion; Motion (physics); Visualization; Task (project management); Motion estimation; Computer graphics (images); Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001245022,0.000206393,0.0002071947,0.0008639503,0.0003387703,0.000203113,0.0002135536,0.00006607956,0.00003793045],"category_scores_gemma":[0.000001175896,0.0001879546,0.00009067341,0.002104665,0.00006235745,0.001262845,0.00000610296,0.0001627176,0.00000742235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002337197,"about_ca_system_score_gemma":0.00001627066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001969935,"about_ca_topic_score_gemma":0.00002847752,"domain_scores_codex":[0.9986554,0.0001107897,0.0002973043,0.000478735,0.0002715928,0.0001861274],"domain_scores_gemma":[0.9991275,0.00004867093,0.0001398569,0.0003578131,0.0002071801,0.0001189858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001506342,0.001032737,0.005255606,0.00005399519,0.000817321,0.00001766522,0.009911231,0.0107102,0.00003265069,0.8531941,0.00009265662,0.1187312],"study_design_scores_gemma":[0.000546683,0.0002501038,0.002751671,0.00004275818,0.0001142386,0.00001952967,0.00008013527,0.993692,0.001503931,0.0004093417,0.0003380058,0.0002516287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004500254,0.00001090265,0.994452,0.00002713079,0.0003891886,0.0001458693,0.000001816412,0.0003157079,0.0001571535],"genre_scores_gemma":[0.9789068,0.00007831935,0.01993653,0.0009629165,0.00002048674,0.00001544872,0.000008202803,0.00001748822,0.00005377099],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9829818,"threshold_uncertainty_score":0.7664566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982636976286854,"score_gpt":0.2810193110295622,"score_spread":0.2511929412666937,"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."}}