{"id":"W2115807268","doi":"10.1145/2669485.2669501","title":"DT-DT","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Mitacs; Boeing","keywords":"Computer science; Proxemics; Computer vision; Salience (neuroscience); Human–computer interaction; Artificial intelligence; Tracking (education); Action recognition; Tracking system; Computer graphics (images)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008400452,0.000945397,0.0006692455,0.001412841,0.001191907,0.002935542,0.001768365,0.001810589,0.2814619],"category_scores_gemma":[0.002794624,0.0004153174,0.000651606,0.001827215,0.0006812289,0.002334325,0.002555703,0.001347651,0.183535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117407,"about_ca_system_score_gemma":0.001849842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288383,"about_ca_topic_score_gemma":0.003088061,"domain_scores_codex":[0.998965,0.0001414142,0.0000810762,0.0003018589,0.000377305,0.0001333199],"domain_scores_gemma":[0.9987069,0.000151407,0.00004908665,0.0005174487,0.0004396154,0.0001354788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002860537,0.00009865614,0.0008340318,0.0005016564,0.00003905245,0.000250117,0.0001603511,0.003295611,0.008724606,0.1053594,0.3718278,0.5086226],"study_design_scores_gemma":[0.00003581043,0.0000401738,0.0002620393,0.00007206485,0.00001345686,0.0003898376,0.00005906506,0.008432829,0.003648312,0.01888731,0.9681402,0.0000188672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004432749,0.002270079,0.3297252,0.002384685,0.003914804,0.0004766202,0.01515125,0.02123065,0.6204139],"genre_scores_gemma":[0.1155585,0.003129981,0.166921,0.002313582,0.0009362135,0.0007193806,0.04536592,0.006502999,0.6585525],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7185381,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005115213751903071,"score_gpt":0.2154851934338711,"score_spread":0.210369979681968,"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."}}