{"id":"W3095896639","doi":"10.1145/3385959.3418458","title":"Exploring the Need and Design for Situated Video Analytics","year":2020,"lang":"en","type":"article","venue":"Symposium on Spatial User Interaction","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Situated; Computer science; Session (web analytics); Analytics; Visual analytics; Human–computer interaction; Situated learning; Process (computing); Multimedia; Visualization; Data science; Artificial intelligence; World Wide Web; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0117338,0.0010694,0.0004661775,0.001027469,0.001436169,0.007383401,0.002689695,0.002398377,0.004890485],"category_scores_gemma":[0.02731597,0.0009121596,0.0006838636,0.0005281189,0.004700864,0.00957193,0.005125173,0.001780695,0.0009237234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386677,"about_ca_system_score_gemma":0.001802468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000929784,"about_ca_topic_score_gemma":0.001328916,"domain_scores_codex":[0.9888936,0.008115609,0.0003886586,0.0009487525,0.001174725,0.0004786822],"domain_scores_gemma":[0.9843335,0.01083138,0.0007376817,0.001914754,0.00138578,0.0007969007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000603988,0.0006356944,0.01086531,0.004061425,0.0001266878,0.002504975,0.3240858,0.01145833,0.1074626,0.2935642,0.006419067,0.238212],"study_design_scores_gemma":[0.000346942,0.001806494,0.007441521,0.002081305,0.0002766862,0.004058823,0.1827122,0.1256782,0.05202927,0.3100478,0.313199,0.0003217981],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09399988,0.0007275248,0.8868987,0.003304698,0.00008672447,0.0004234676,0.0000679643,0.0009501643,0.01354082],"genre_scores_gemma":[0.5490953,0.0005660806,0.4457041,0.0003638084,0.0000346993,0.0005351913,0.0001007422,0.0002357102,0.003364367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0117338,"threshold_uncertainty_score":0.06205499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420994261511371,"score_gpt":0.3157696420144342,"score_spread":0.1736702158632971,"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."}}