{"id":"W2361606980","doi":"","title":"Discovery of Quantitative Profit Constraint Association Rules","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Association rule learning; Computer science; Database transaction; Profit (economics); Transaction cost; Data mining; Constraint (computer-aided design); Transaction data; Operations research; Microeconomics; Database; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003464044,0.000679116,0.001567772,0.003065891,0.00079493,0.002813888,0.00149705,0.0007566019,0.001241009],"category_scores_gemma":[0.01923328,0.0004788114,0.001047882,0.003039113,0.0007529868,0.002879243,0.001648977,0.001276549,0.0003425691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005904954,"about_ca_system_score_gemma":0.001613968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008989183,"about_ca_topic_score_gemma":0.0007586957,"domain_scores_codex":[0.994571,0.001160629,0.0004989866,0.0009519758,0.002495135,0.0003222382],"domain_scores_gemma":[0.9878069,0.007535333,0.001401505,0.0008790666,0.002061368,0.0003158655],"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":[0.0007831671,0.0006385676,0.05543673,0.000806754,0.0005503547,0.002746766,0.0006777424,0.1605278,0.01701944,0.1659674,0.006983365,0.5878619],"study_design_scores_gemma":[0.00006106254,0.000123945,0.004323706,0.00005562915,0.0001091158,0.0006977399,0.0002408676,0.8882245,0.008706011,0.09293727,0.004473826,0.000046316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1608052,0.0005261367,0.832536,0.0006089081,0.00006532492,0.0002477579,0.0006129612,0.0004475349,0.004150227],"genre_scores_gemma":[0.6190679,0.0003904492,0.3765742,0.0001296395,0.00008582094,0.0002272319,0.001688487,0.00005120534,0.001785113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003464044,"threshold_uncertainty_score":0.01831985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093612447298679,"score_gpt":0.2593453140657606,"score_spread":0.2384091895927738,"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."}}