{"id":"W2006956419","doi":"10.1145/1039470.1039486","title":"Future applications and solutions","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Multimedia; Range (aeronautics); Data science; World Wide Web","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":[0.004677836,0.001509708,0.0007754575,0.002176134,0.00327839,0.010903,0.003892984,0.005781754,0.1643961],"category_scores_gemma":[0.01086756,0.0006035857,0.001682368,0.002080046,0.001227915,0.01020647,0.005609137,0.003686066,0.07868104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002463377,"about_ca_system_score_gemma":0.004132424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684919,"about_ca_topic_score_gemma":0.002021783,"domain_scores_codex":[0.9962938,0.0008241849,0.0002319043,0.0005548662,0.001522589,0.0005725789],"domain_scores_gemma":[0.9941298,0.0007539524,0.0002147809,0.00108084,0.002928008,0.0008927231],"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":[0.0001262331,0.0002270006,0.0009995962,0.0008281772,0.00003178652,0.0005999282,0.0005269916,0.001469024,0.001521058,0.1582884,0.4307293,0.4046526],"study_design_scores_gemma":[0.00001910608,0.00005401706,0.0001994904,0.0003004196,0.00001448742,0.0004359255,0.0004023979,0.001237144,0.0004379605,0.05157842,0.9453008,0.00001979792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004235411,0.02329585,0.08176176,0.09339638,0.01809462,0.0007649151,0.002056439,0.003551036,0.7728436],"genre_scores_gemma":[0.06400196,0.04491213,0.1506726,0.02604824,0.009203181,0.001491033,0.007360087,0.00119862,0.6951121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1643961,"threshold_uncertainty_score":0.5499598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392261149837825,"score_gpt":0.2726737188605556,"score_spread":0.2587511073621773,"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."}}