{"id":"W2806283251","doi":"10.1145/3197026.3203865","title":"ViDeX","year":2018,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft","keywords":"Computer science; Multimedia; Video tracking; Video processing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006986094,0.00001972743,0.00002699382,0.00002680014,0.00004294867,0.00006112462,0.0001995452,0.000009292389,0.0001501281],"category_scores_gemma":[0.000010023,0.00001459819,0.00001605948,0.0001955318,0.00001012847,0.0001822502,0.00005178605,0.000008929238,0.000462312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000322077,"about_ca_system_score_gemma":0.000007188526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001401013,"about_ca_topic_score_gemma":0.00002311229,"domain_scores_codex":[0.9997392,0.000008171555,0.00004773532,0.0000874797,0.00006479918,0.00005257376],"domain_scores_gemma":[0.9997352,0.000005885045,0.000009747971,0.0001846516,0.00004524492,0.00001920771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.554049e-7,0.00001332249,0.00291706,5.049884e-7,0.000007576746,8.945161e-7,0.0001647172,0.000004458147,0.001124331,0.8649651,0.02046219,0.1103394],"study_design_scores_gemma":[0.0001175365,0.00007808694,0.01051776,0.000002439573,0.000003870054,0.000002223753,0.00001042988,0.8207567,0.01323889,0.02503539,0.1300933,0.0001434549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001303094,0.000003543096,0.9070808,0.0007676819,0.00007098571,0.000008153997,1.732351e-8,0.00006045801,0.0907053],"genre_scores_gemma":[0.9640584,0.000001070514,0.03154891,0.0009719059,0.00007098223,4.684693e-7,2.604747e-7,8.383548e-7,0.003347197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9627553,"threshold_uncertainty_score":0.594224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00794060494159353,"score_gpt":0.2257353208517926,"score_spread":0.2177947159101991,"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."}}