{"id":"W2161239058","doi":"10.1109/iecon.1999.822187","title":"Presenter tracking in a classroom environment","year":2003,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Computer science; Tracking (education); Multimedia; Psychology; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004215426,0.0004081828,0.0006447469,0.001309851,0.0006223242,0.001208865,0.0007750305,0.001119237,0.005156315],"category_scores_gemma":[0.001935831,0.0003133092,0.0002552188,0.0009927517,0.0002693651,0.0008408116,0.0008684571,0.0006124688,0.003514837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005349618,"about_ca_system_score_gemma":0.0004056583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004233862,"about_ca_topic_score_gemma":0.007945947,"domain_scores_codex":[0.9995723,0.00005937243,0.00001447749,0.0001680804,0.0001227828,0.00006308842],"domain_scores_gemma":[0.9991265,0.0002064691,0.00009392182,0.0001572769,0.0002973104,0.0001184884],"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":[0.0008004692,0.0003563401,0.009768815,0.0001404768,0.00007168218,0.0008020338,0.001140074,0.02823193,0.1632586,0.004825838,0.01521936,0.7753844],"study_design_scores_gemma":[0.0001909287,0.0007131327,0.03062529,0.00004179468,0.0001486058,0.001912957,0.0009519323,0.7348458,0.1823512,0.004999405,0.043101,0.000117902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3133405,0.0005902757,0.6552256,0.0004208043,0.0001791257,0.0001050745,0.0006163909,0.01211608,0.01740612],"genre_scores_gemma":[0.7294623,0.0004046136,0.2452667,0.00009849304,0.0001178498,0.0000520226,0.001099774,0.0005062225,0.02299206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005156315,"threshold_uncertainty_score":0.01724958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144633129876329,"score_gpt":0.2253801290754998,"score_spread":0.2109168160878669,"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."}}