{"id":"W2912740295","doi":"","title":"Proceedings of the Second International Conference on Multimedia Data Mining","year":2000,"lang":"en","type":"article","venue":"ACM Multimedia","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Multimedia; World Wide Web; Data science","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":[0.004448458,0.001077729,0.00255592,0.002657676,0.0009463762,0.004291215,0.001960636,0.001405709,0.0189748],"category_scores_gemma":[0.005702224,0.0004049566,0.001182613,0.002178217,0.0007080872,0.00304589,0.001267976,0.001807107,0.007435957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007094158,"about_ca_system_score_gemma":0.001830089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300373,"about_ca_topic_score_gemma":0.004384274,"domain_scores_codex":[0.9984419,0.0003276822,0.0001913757,0.0002559941,0.000655651,0.0001273801],"domain_scores_gemma":[0.9964275,0.000985098,0.0001238935,0.0005524381,0.001487256,0.0004238145],"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":[0.000626823,0.0006292314,0.003469544,0.0004090256,0.0002596038,0.000257285,0.0002239763,0.001239977,0.009237356,0.004713049,0.193702,0.7852319],"study_design_scores_gemma":[0.0001804087,0.0007007651,0.01277881,0.0004934195,0.0006717225,0.001804926,0.0008952064,0.1107339,0.0337353,0.02273823,0.8151559,0.0001115569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07057698,0.05903301,0.7507776,0.01860294,0.03330928,0.001273924,0.005327418,0.007117294,0.05398154],"genre_scores_gemma":[0.1927463,0.03857975,0.4808915,0.004056096,0.0105707,0.00104118,0.02690772,0.001678791,0.243528],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0189748,"threshold_uncertainty_score":0.06347704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06851408707776001,"score_gpt":0.3055656582377608,"score_spread":0.2370515711600008,"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."}}