{"id":"W2348095904","doi":"","title":"Non-Classification Case Retrieval Based on Rank Correlation","year":2010,"lang":"en","type":"article","venue":"Information and Computation","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rank (graph theory); Correlation; Case-based reasoning; Rank correlation; Set (abstract data type); Computer science; Data mining; Artificial intelligence; Pattern recognition (psychology); Machine learning; Mathematics","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":[0.005084688,0.0007535585,0.001231504,0.007921099,0.0008701282,0.003068217,0.001447132,0.0006289947,0.003531855],"category_scores_gemma":[0.03742598,0.0002863229,0.0007446997,0.006693413,0.0009233947,0.00355363,0.001320803,0.0007266073,0.001548339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141581,"about_ca_system_score_gemma":0.002070417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003239185,"about_ca_topic_score_gemma":0.002507578,"domain_scores_codex":[0.9870065,0.004095984,0.001330631,0.001287397,0.005705288,0.0005742752],"domain_scores_gemma":[0.9770293,0.0120715,0.002336701,0.002441823,0.005709669,0.000411086],"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":[0.0005403657,0.0003823141,0.01942339,0.0005024219,0.0001999201,0.0002771454,0.0006510044,0.02011522,0.01302112,0.02302874,0.005938167,0.9159201],"study_design_scores_gemma":[0.0001206241,0.0005956246,0.01883194,0.00009256,0.0002741911,0.001261446,0.0006050268,0.911683,0.03302965,0.02597214,0.007375127,0.0001586388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0949163,0.000845474,0.8931742,0.000276268,0.00009252037,0.0006226372,0.0002920079,0.002081486,0.007699076],"genre_scores_gemma":[0.6867769,0.000462132,0.3094257,0.00006939656,0.00009661608,0.0003964067,0.0007680946,0.000108306,0.001896433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007921099,"threshold_uncertainty_score":0.02689075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013450460459999,"score_gpt":0.2465532690372886,"score_spread":0.2331028085772895,"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."}}