{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006036653,0.0000410532,0.00004235838,0.00002546565,0.00003655041,0.00004204491,0.0003206742,0.00001297171,0.000120548],"category_scores_gemma":[0.00002053823,0.0000318722,0.00003013966,0.00006355567,0.00000829387,0.0002899806,0.00008086428,0.00003707006,0.001308107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006834363,"about_ca_system_score_gemma":0.00000618052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001352732,"about_ca_topic_score_gemma":0.00000289862,"domain_scores_codex":[0.9996339,0.00001836014,0.00004703407,0.0001259844,0.00006691532,0.000107789],"domain_scores_gemma":[0.9996674,0.00003748077,0.00001424657,0.0002084175,0.000042753,0.00002968706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001549647,0.00002408028,0.0004802198,0.000001606,0.000006624625,0.000001524757,0.0002003483,0.00000291751,0.02894984,0.9267887,0.03562354,0.007919071],"study_design_scores_gemma":[0.0005234303,0.0002976184,0.0454215,0.00001495213,0.000004912113,0.00002252372,0.0001129027,0.05524705,0.3667987,0.01399764,0.517114,0.0004447972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003691021,0.000002829887,0.6436716,0.0006695996,0.000218555,0.00001549565,6.728894e-8,0.00001389708,0.3517169],"genre_scores_gemma":[0.9870853,6.302765e-7,0.004678047,0.003327515,0.00004598322,0.000001561485,4.377045e-7,0.000001878695,0.004858692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9833942,"threshold_uncertainty_score":0.9994695,"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."}}