{"id":"W48920344","doi":"","title":"Knowledge Discovery and Interestingness Measures: A Survey","year":2012,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Knowledge extraction; Computer science; Ranking (information retrieval); Data mining; Data science; Representation (politics); Information retrieval","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":[0.01058373,0.00210538,0.004018673,0.0152138,0.001273296,0.006015779,0.002840017,0.002509694,0.002531657],"category_scores_gemma":[0.03301667,0.0007216714,0.001698719,0.01959477,0.003595466,0.01291806,0.00197119,0.002956373,0.001088917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283472,"about_ca_system_score_gemma":0.001880133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009893384,"about_ca_topic_score_gemma":0.0006202172,"domain_scores_codex":[0.9888453,0.002358311,0.001314074,0.001745027,0.005433477,0.000303788],"domain_scores_gemma":[0.9429868,0.04776926,0.003004191,0.002031352,0.003592435,0.0006158946],"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":[0.0001703452,0.0003365746,0.01421291,0.005413054,0.0003500857,0.000231992,0.0003863748,0.0127775,0.001141392,0.1952272,0.01099823,0.7587544],"study_design_scores_gemma":[0.00008190672,0.0006882063,0.01274878,0.003030849,0.0005514907,0.003135612,0.0009044852,0.09221947,0.004680452,0.6876865,0.1939783,0.0002939432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02133257,0.6505252,0.2980987,0.0052332,0.0007402408,0.0003142305,0.0017666,0.0005486892,0.02144063],"genre_scores_gemma":[0.2219121,0.461575,0.3005998,0.001587585,0.005684116,0.0009515314,0.003443076,0.0002984895,0.003948383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0152138,"threshold_uncertainty_score":0.05597275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08284764621487632,"score_gpt":0.3122887665810429,"score_spread":0.2294411203661665,"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."}}