{"id":"W142558063","doi":"","title":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reputation; Library science; Computer science; China; Geography; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144862,0.001396214,0.00145828,0.001843071,0.0007230851,0.004567211,0.001750222,0.001500718,0.08061816],"category_scores_gemma":[0.002961708,0.00037931,0.001100824,0.001811017,0.0009695778,0.002484274,0.001546962,0.003312224,0.04751589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009548672,"about_ca_system_score_gemma":0.002058121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004381093,"about_ca_topic_score_gemma":0.003667679,"domain_scores_codex":[0.998393,0.0002903468,0.0001143727,0.0002794795,0.0007692848,0.0001534266],"domain_scores_gemma":[0.9979038,0.000360933,0.00007369302,0.0003022892,0.001049763,0.0003094678],"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":[0.0001653256,0.0001304017,0.0005806994,0.0005519891,0.000125532,0.0002974947,0.0001467749,0.001095236,0.005687084,0.006834827,0.5698037,0.4145809],"study_design_scores_gemma":[0.00001534904,0.0001032574,0.001917903,0.0002260146,0.00007630345,0.0007943704,0.0001808229,0.005546019,0.002167551,0.005685364,0.9832427,0.0000441782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01955919,0.1647073,0.3112272,0.01705731,0.09034941,0.00095837,0.005187249,0.01294733,0.3780067],"genre_scores_gemma":[0.06778519,0.09458633,0.1316553,0.004740491,0.01670966,0.0006450849,0.01738684,0.002481337,0.6640096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08061816,"threshold_uncertainty_score":0.2696946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007866052992315,"score_gpt":0.2747079736781765,"score_spread":0.2646293131482533,"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."}}