{"id":"W1988824236","doi":"10.1109/crv.2013.31","title":"I Remember Seeing This Video: Image Driven Search in Video Collections","year":2013,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Artificial intelligence; Shot (pellet); Computer vision; Hidden Markov model; Pattern recognition (psychology); Support vector machine; Classifier (UML)","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":[0.0007530729,0.0009177178,0.001609165,0.004265198,0.0007540686,0.001117984,0.002044214,0.001224489,0.002315338],"category_scores_gemma":[0.003138692,0.0004084605,0.0009493234,0.004124813,0.0005326152,0.002567818,0.001268523,0.0009654799,0.00170257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279405,"about_ca_system_score_gemma":0.0009084491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005750102,"about_ca_topic_score_gemma":0.009703724,"domain_scores_codex":[0.9990871,0.0001233245,0.00005870585,0.0002559609,0.0003761666,0.00009878521],"domain_scores_gemma":[0.9986553,0.0004228755,0.000183061,0.0003256955,0.0003032546,0.0001097494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008400467,0.0004068011,0.004608617,0.000826609,0.0002491224,0.0006205107,0.0007519193,0.01389116,0.08207555,0.005159738,0.02902225,0.8615478],"study_design_scores_gemma":[0.0001954528,0.001366935,0.01595956,0.0001580565,0.0003570172,0.004850371,0.001585763,0.7921975,0.110165,0.02632066,0.04661775,0.0002259303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184862,0.004902941,0.8582114,0.0007992496,0.0002437029,0.0007938212,0.003379534,0.008724426,0.004458696],"genre_scores_gemma":[0.3422019,0.00159627,0.6386756,0.0004271783,0.0004275965,0.0003317858,0.008136211,0.0003642149,0.007839269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005750102,"threshold_uncertainty_score":0.01143324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216398325414949,"score_gpt":0.2427929670304386,"score_spread":0.2306289837762891,"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."}}