{"id":"W2024941898","doi":"10.1145/1462027.1462031","title":"Studying vision-based multiple-user interaction with in-home large displays","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Computer science; Human–computer interaction; Computer vision; Computer graphics (images); Artificial intelligence","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":[0.0007933351,0.0003214832,0.0004564031,0.0003409862,0.0004484453,0.0009915649,0.0005065621,0.0005853433,0.002197639],"category_scores_gemma":[0.005940033,0.000194485,0.0002987777,0.000248818,0.0005428671,0.001224839,0.0006163589,0.0003787702,0.0002051725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004151624,"about_ca_system_score_gemma":0.0002080296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002176286,"about_ca_topic_score_gemma":0.001903347,"domain_scores_codex":[0.9989761,0.0005427752,0.00003045725,0.0001370364,0.0002212019,0.0000924471],"domain_scores_gemma":[0.9967182,0.002540589,0.000160206,0.0001725212,0.0002896003,0.0001188716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002795986,0.003280448,0.07126855,0.001337785,0.0002818464,0.001602197,0.05659343,0.03316431,0.5575072,0.0124192,0.001663808,0.2580854],"study_design_scores_gemma":[0.0002778356,0.006724706,0.3006364,0.0001225504,0.0002892954,0.002562161,0.01653097,0.456857,0.2005002,0.005138036,0.01004183,0.00031908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630527,0.00007666856,0.03325956,0.00003486235,0.000006673049,0.00006339768,0.00001705632,0.0000865658,0.003402504],"genre_scores_gemma":[0.9885193,0.00005170485,0.0104572,0.00001421613,0.000003726635,0.00003045705,0.00002454108,0.00001806535,0.0008808323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002197639,"threshold_uncertainty_score":0.007351875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629960814580252,"score_gpt":0.2649517337580088,"score_spread":0.2486521256122063,"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."}}