{"id":"W2117849405","doi":"10.1145/2207676.2208622","title":"#EpicPlay","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CLIPS; Computer science; Event (particle physics); Multimedia; Social media; World Wide Web; Human–computer interaction; 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":[0.0004563385,0.001455378,0.0004326086,0.001377517,0.0008504571,0.002596847,0.001066856,0.0006892245,0.2640698],"category_scores_gemma":[0.001911788,0.0004731008,0.0004717478,0.0007977503,0.0003486855,0.002748921,0.002575922,0.0007517905,0.1388643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000462265,"about_ca_system_score_gemma":0.0004685129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070396,"about_ca_topic_score_gemma":0.004811812,"domain_scores_codex":[0.9994097,0.0000713271,0.00005157418,0.0001651522,0.0002216168,0.00008065694],"domain_scores_gemma":[0.9993807,0.0001200621,0.00003800006,0.0001616345,0.00021226,0.00008721508],"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":[0.0009072028,0.0001298975,0.003449644,0.0007372528,0.00002647501,0.0003845218,0.0009182525,0.0004256149,0.009938695,0.01728973,0.6287518,0.337041],"study_design_scores_gemma":[0.00002816893,0.00005644222,0.002449288,0.00006012879,0.00001024564,0.000217458,0.0001532602,0.0009632763,0.0031756,0.001898162,0.9909614,0.00002657731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0234493,0.001154592,0.07876948,0.001114171,0.001922906,0.001194205,0.08085372,0.1262847,0.6852569],"genre_scores_gemma":[0.08800404,0.001141204,0.05748231,0.001229165,0.00044341,0.0009799062,0.1335921,0.028692,0.6884358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2640698,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069507395673888,"score_gpt":0.2216858237070577,"score_spread":0.2109907497503189,"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."}}