{"id":"W2154535371","doi":"10.1145/956750.956766","title":"Inverted matrix","year":2003,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Association rule learning; Data mining; Process (computing); Tree (set theory); Dependency (UML); Data structure; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005649431,0.001136189,0.0007775453,0.003605571,0.001218666,0.003084255,0.001415689,0.0009244305,0.04791417],"category_scores_gemma":[0.004451278,0.0004244867,0.0006973775,0.004477427,0.0004247074,0.003096143,0.001670874,0.0008013647,0.0352525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231278,"about_ca_system_score_gemma":0.001728894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003171205,"about_ca_topic_score_gemma":0.003946706,"domain_scores_codex":[0.9987801,0.0001222866,0.0001175834,0.0002705848,0.0005694291,0.0001399657],"domain_scores_gemma":[0.9980817,0.0002992901,0.0001498362,0.0003813002,0.001020117,0.00006783463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003941099,0.000103946,0.002642939,0.0007323991,0.00009425941,0.0006459982,0.0001438896,0.007159863,0.01204326,0.0547747,0.1301332,0.7911314],"study_design_scores_gemma":[0.0001412577,0.0003979045,0.002848471,0.0002331319,0.0001142125,0.003580364,0.0005418173,0.1238784,0.02923485,0.1431609,0.6956897,0.0001789814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02195023,0.003642568,0.7973678,0.002126279,0.002872376,0.001193269,0.03515008,0.01590579,0.1197916],"genre_scores_gemma":[0.1594026,0.003397369,0.6770788,0.00154263,0.001143564,0.0009308985,0.05537465,0.00119071,0.09993875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04791417,"threshold_uncertainty_score":0.1602889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664172187040374,"score_gpt":0.2656214936836532,"score_spread":0.2489797718132494,"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."}}