{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005204654,0.001357447,0.0009779391,0.001572537,0.0007982734,0.00221111,0.002142905,0.001820274,0.2980315],"category_scores_gemma":[0.00162656,0.0006854241,0.0005740873,0.001054849,0.0002590826,0.001765659,0.002063552,0.001122216,0.1038316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006549703,"about_ca_system_score_gemma":0.0009355164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004313688,"about_ca_topic_score_gemma":0.007483991,"domain_scores_codex":[0.9995217,0.00002478509,0.00002478954,0.0001665892,0.0002015853,0.00006050771],"domain_scores_gemma":[0.9993297,0.00007222462,0.00002853208,0.0001634766,0.0003172811,0.0000887482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007485662,0.0001650725,0.001624674,0.0006430568,0.00007573907,0.0003515719,0.0002776576,0.0008853098,0.03047569,0.005315211,0.5964012,0.3630363],"study_design_scores_gemma":[0.000220576,0.0002543552,0.003612664,0.0001397366,0.0000927205,0.0007642369,0.00012751,0.02571293,0.03087633,0.002904959,0.9351933,0.0001007646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01284751,0.001419026,0.350573,0.0008277582,0.002506349,0.002295196,0.05779461,0.236269,0.3354676],"genre_scores_gemma":[0.1343331,0.001303733,0.2738476,0.003904196,0.0005835011,0.002538779,0.1210107,0.021627,0.4408514],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2980315,"threshold_uncertainty_score":0,"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."}}