{"id":"W2016153077","doi":"10.1109/jetcas.2013.2256827","title":"Software Laboratory for Camera Networks Research","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Pennsylvania","keywords":"Software; Computer science; Computer graphics (images); Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002388598,0.0001231143,0.0002550153,0.000264649,0.000400906,0.0006220991,0.0002445382,0.0001154981,0.000001090665],"category_scores_gemma":[0.0002656913,0.0001010801,0.00002555302,0.000581829,0.00003344056,0.0002717675,0.00002194098,0.000621509,0.000001218847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004520458,"about_ca_system_score_gemma":0.00007174651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007710527,"about_ca_topic_score_gemma":0.00001407576,"domain_scores_codex":[0.9981506,0.0004997309,0.0003447715,0.0002850206,0.0002758309,0.000444009],"domain_scores_gemma":[0.9984004,0.0005681331,0.00009909988,0.0001872533,0.0006014652,0.0001435821],"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":[0.00001457567,0.0001412975,0.05974465,0.0003086663,0.0001326986,0.00009434164,0.003557769,0.00779536,0.00124332,0.01633443,0.008981329,0.9016516],"study_design_scores_gemma":[0.00458911,0.001980741,0.2070763,0.001891639,0.00002158826,0.0008124515,0.0008209299,0.6554963,0.0002973789,0.01496249,0.1103792,0.001671784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5650939,0.006214457,0.4227787,0.001322357,0.003579247,0.0006007772,0.000003050148,0.00009587202,0.0003116548],"genre_scores_gemma":[0.9965633,0.0006612228,0.001450968,0.0001354226,0.0008955834,0.00003588285,7.322722e-7,0.00001333691,0.0002435915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8999798,"threshold_uncertainty_score":0.5998916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05937322974766214,"score_gpt":0.3387975889828744,"score_spread":0.2794243592352122,"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."}}