{"id":"W6983465485","doi":"","title":"Microsoft Research Video 104759: Biomal Human Emotion Recognition and Peer Steaming Projects at Ryerson Multimedia Research Lab","year":2005,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotion recognition; The Internet; Search engine indexing; Session (web analytics); Video processing; Video streaming; Key (lock); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002364176,0.001467547,0.0009162068,0.002763419,0.0007793326,0.00379537,0.00122237,0.001111885,0.3050893],"category_scores_gemma":[0.002825781,0.0004267266,0.0003851084,0.001949153,0.0003443937,0.002448606,0.001145972,0.001071181,0.1413887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107815,"about_ca_system_score_gemma":0.001216558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007642716,"about_ca_topic_score_gemma":0.009518578,"domain_scores_codex":[0.9991212,0.0001559259,0.00003935997,0.0002198646,0.0003825047,0.00008111247],"domain_scores_gemma":[0.9977584,0.000382226,0.00008754227,0.0002236558,0.0008452046,0.0007028972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001350425,0.00007323342,0.0002313924,0.00009163236,0.00001497463,0.00006133979,0.00006248528,0.0003168515,0.001616254,0.004440818,0.7208197,0.2721362],"study_design_scores_gemma":[0.00005256923,0.0001221113,0.001572185,0.00006623709,0.00001812732,0.0001575059,0.00007753863,0.005429086,0.001934449,0.002707852,0.9878378,0.00002464688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007799016,0.01489136,0.163681,0.01014188,0.005845512,0.001081029,0.02621669,0.0713641,0.6989794],"genre_scores_gemma":[0.01924228,0.006485151,0.0536796,0.0006015697,0.001492873,0.0002787532,0.02445577,0.00481711,0.8889468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3050893,"threshold_uncertainty_score":0.9912058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08722822691199505,"score_gpt":0.3291027083444099,"score_spread":0.2418744814324149,"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."}}