{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009345186,0.0009876239,0.0007808086,0.001547534,0.0009856711,0.003567918,0.001688501,0.001774996,0.7254162],"category_scores_gemma":[0.002809011,0.0005219046,0.0005082059,0.0009336388,0.0004023543,0.002627015,0.002958239,0.001601461,0.5662316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043301,"about_ca_system_score_gemma":0.0007850115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006888509,"about_ca_topic_score_gemma":0.0008976544,"domain_scores_codex":[0.9992834,0.00008592469,0.00003772037,0.0001395621,0.0003862522,0.00006714771],"domain_scores_gemma":[0.9985258,0.0002622325,0.00007345133,0.0003214896,0.0004443204,0.000372713],"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":[0.0004556792,0.0001327086,0.0004182106,0.0006817559,0.00002162883,0.0002113091,0.0001472171,0.000304614,0.01027449,0.01324742,0.6636962,0.3104088],"study_design_scores_gemma":[0.00003886086,0.00004294746,0.0004013451,0.000076062,0.000006450243,0.0001706153,0.00002753389,0.0004114237,0.00198104,0.001753637,0.9950783,0.00001186683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002791473,0.002038835,0.03727568,0.001586377,0.002389141,0.0004783515,0.02047383,0.05139399,0.8815724],"genre_scores_gemma":[0.01324747,0.002029161,0.01698421,0.00138479,0.00069403,0.0003139974,0.02717107,0.01087236,0.927303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2745838,"threshold_uncertainty_score":0,"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."}}