{"id":"W2019615885","doi":"10.1061/41109(373)2","title":"Automated Multiple Objects Tracking System (AMOTS)","year":2010,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Background subtraction; Computer vision; Tracking (education); Artificial intelligence; Field (mathematics); Video tracking; Tracking system; Real-time computing; Object (grammar); Pixel; Kalman filter","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":[0.001086579,0.0007797932,0.0009806252,0.002277574,0.0007914369,0.001028133,0.001236387,0.001096958,0.005613855],"category_scores_gemma":[0.00123937,0.0003650653,0.000445557,0.001821416,0.0003347918,0.001000824,0.001224289,0.0005079497,0.004173267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781806,"about_ca_system_score_gemma":0.0009348454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524979,"about_ca_topic_score_gemma":0.003554957,"domain_scores_codex":[0.9987026,0.0001664819,0.00006301994,0.0003345736,0.0006592511,0.00007415388],"domain_scores_gemma":[0.9988423,0.000179354,0.0001921071,0.0002522983,0.0004436621,0.00009031268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001044069,0.0002406288,0.01975818,0.0006320595,0.0002192501,0.0002922046,0.0004496699,0.01059261,0.09989358,0.009952127,0.03779927,0.8191262],"study_design_scores_gemma":[0.0002789713,0.0011444,0.05005181,0.0003069254,0.0004030204,0.002208112,0.0003086382,0.4037186,0.1436132,0.006587951,0.3910918,0.0002866238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04779415,0.00093828,0.9076331,0.0001506274,0.000391741,0.0005258036,0.002861527,0.022621,0.01708387],"genre_scores_gemma":[0.3883,0.001034971,0.5747931,0.0002695081,0.0002293297,0.001040798,0.006527999,0.0003886776,0.02741569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005613855,"threshold_uncertainty_score":0.01878023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518272058080101,"score_gpt":0.2086495259669205,"score_spread":0.1934668053861195,"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."}}