{"id":"W1993229211","doi":"10.1145/2422956.2422963","title":"Spider","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Innovation Council","keywords":"Computer science; Precision and recall; Matching (statistics); Computer vision; Artificial intelligence; Realization (probability); Video tracking; Information retrieval; Video processing; Mathematics","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":[0.0007025111,0.001473229,0.001174349,0.002586159,0.001048006,0.002709931,0.001938124,0.001528567,0.1084294],"category_scores_gemma":[0.002718809,0.0008086159,0.0009336687,0.001782834,0.0003879213,0.004374886,0.00437314,0.0009284494,0.09938017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781677,"about_ca_system_score_gemma":0.001013359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743822,"about_ca_topic_score_gemma":0.002252146,"domain_scores_codex":[0.9988104,0.0001071109,0.00009073133,0.000293043,0.0005612494,0.0001374559],"domain_scores_gemma":[0.998672,0.0001897852,0.00008119392,0.0005208708,0.0004111434,0.0001250037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006722406,0.0001615358,0.002291281,0.0008139788,0.00009125214,0.0003423358,0.0003193697,0.001408085,0.01407315,0.01436654,0.2667257,0.6987345],"study_design_scores_gemma":[0.00009592639,0.000194558,0.002429154,0.0001375716,0.00005998617,0.001274423,0.000168276,0.02228206,0.01754781,0.01383026,0.9418575,0.0001225811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01516597,0.003249932,0.3685345,0.0009740989,0.00125717,0.001073949,0.01710239,0.3606901,0.2319518],"genre_scores_gemma":[0.1671409,0.004166666,0.4071893,0.002832297,0.0007517295,0.001296033,0.08095884,0.03012295,0.3055413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1084294,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706555765660691,"score_gpt":0.3095773581382047,"score_spread":0.2825118004815978,"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."}}