{"id":"W2014817685","doi":"10.1145/2661229.2661272","title":"TrackCam","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Robustness (evolution); Panning (audio); Match moving; Segmentation; Structure from motion; Photography; Computer graphics (images); Single camera; Video tracking; Motion estimation; Object (grammar); Motion (physics)","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":[0.0001368009,0.00009673879,0.00008545211,0.0001715744,0.0002217397,0.00006478805,0.0007169322,0.00003839104,0.00002040076],"category_scores_gemma":[0.00003111225,0.00008986052,0.00008668828,0.0005105512,0.00004191945,0.0003918499,0.000006940681,0.0002216245,0.00009545379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000823638,"about_ca_system_score_gemma":0.00001158768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002735063,"about_ca_topic_score_gemma":0.000004611937,"domain_scores_codex":[0.999222,0.00003819553,0.000123012,0.0002536176,0.0001843362,0.000178878],"domain_scores_gemma":[0.9988236,0.0001510175,0.00002841041,0.0008696384,0.0000418497,0.00008552806],"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":[0.000003021407,0.00009759087,0.00002615214,0.000003983706,0.000007699233,0.000001330561,0.00013461,0.0003719259,0.0003136716,0.04908152,0.0002028141,0.9497557],"study_design_scores_gemma":[0.001384225,0.000472485,0.003214629,0.00007141114,0.00002368359,0.00005464271,0.00005733114,0.3775642,0.013861,0.3287744,0.2736941,0.0008278649],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004003254,0.00001748889,0.9940955,0.003465725,0.0003482231,0.00004813261,9.584536e-7,0.0002669967,0.001356664],"genre_scores_gemma":[0.78742,0.00006950946,0.2085398,0.003726383,0.00002398147,0.000009322793,5.093183e-7,0.00001037372,0.0002001727],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9489278,"threshold_uncertainty_score":0.3664406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687634226747507,"score_gpt":0.2676792689558766,"score_spread":0.2508029266884015,"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."}}