{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312696,0.0000973888,0.00007276778,0.0002133657,0.0002732281,0.0002870705,0.0001012586,0.00009342365,0.000007321718],"category_scores_gemma":[0.00006136997,0.00009562224,0.00002269327,0.0002807383,0.00002571996,0.00140339,0.00001770138,0.0002170288,0.00008740594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912601,"about_ca_system_score_gemma":0.00006388414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001644351,"about_ca_topic_score_gemma":0.000002563745,"domain_scores_codex":[0.9992462,0.00002849013,0.0002746232,0.0001274459,0.0002116697,0.0001115745],"domain_scores_gemma":[0.9992734,0.0001502217,0.0001943499,0.0001649635,0.0001483739,0.00006872907],"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":[0.0001639028,0.00009093454,0.003583449,0.0001121573,0.00001405231,0.00003876381,0.008275832,0.232189,0.0008122813,0.04531164,0.003104493,0.7063035],"study_design_scores_gemma":[0.0005213178,0.00007682353,0.006262338,0.00001609492,0.000003333768,0.00009985104,0.00006522298,0.9911942,0.000138332,0.0005345043,0.0009716142,0.0001163319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1228527,0.000002080971,0.8729087,0.0007566449,0.0004373328,0.0001610522,0.000002441617,0.0001514862,0.002727643],"genre_scores_gemma":[0.9767054,6.50489e-7,0.02248152,0.0006617837,0.00003377655,0.000005117186,0.00009527517,0.000003124826,0.00001332959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8538527,"threshold_uncertainty_score":0.3899361,"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."}}