{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003221178,0.0003776361,0.0004765571,0.0005717601,0.000468314,0.0001384856,0.000243941,0.0007626074,0.108323],"category_scores_gemma":[0.001538906,0.0003875606,0.0001113883,0.00005058155,0.0003494992,0.000001782678,0.000222596,0.0007261008,0.006190385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169768,"about_ca_system_score_gemma":0.00005072795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005248315,"about_ca_topic_score_gemma":0.004808145,"domain_scores_codex":[0.9957967,0.0005448553,0.0009447383,0.000420816,0.001673608,0.0006193063],"domain_scores_gemma":[0.9966962,0.0007558716,0.0006432034,0.000454182,0.001275816,0.0001747777],"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":[0.00009414255,0.0001002461,0.00001990299,0.001358983,0.00004177252,0.000007862853,0.001539149,0.000006411466,0.00003448897,0.00006281903,0.9845092,0.01222506],"study_design_scores_gemma":[0.0009433908,0.000197514,0.000105072,0.0009246782,0.0000436166,0.0000727746,0.0003950735,0.0001757437,0.0001218487,0.0002128595,0.996425,0.00038237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0137129,0.0001893406,0.000001211886,0.0003058477,0.000166073,0.001504401,0.0002604852,0.0002064439,0.9836533],"genre_scores_gemma":[0.005905109,0.0001218286,0.006623778,0.00003033875,0.0004976391,0.00005283471,0.001308376,0.0002003582,0.9852597],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1021326,"threshold_uncertainty_score":0.9998576,"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."}}