{"id":"W7037007395","doi":"","title":"Data Mining for Inventory Item Selection with Cross-Selling Considerations","year":2005,"lang":"en","type":"article","venue":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","topic":"Hibiscus Plant Research Studies","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Association rule learning; Selection (genetic algorithm); Greedy algorithm; Feature selection; Profit (economics); Quadratic equation; Simple (philosophy)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00100462,0.0001065773,0.0001640577,0.000337455,0.002513486,0.00003552236,0.0005697394,0.0001426338,0.0001364585],"category_scores_gemma":[0.0003485299,0.00008902455,0.00001782789,0.000839356,0.005330108,0.0005254119,0.0003347662,0.000367488,0.000008304752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008844076,"about_ca_system_score_gemma":0.000364658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001870739,"about_ca_topic_score_gemma":0.001162871,"domain_scores_codex":[0.9988914,0.00003870948,0.0001226151,0.0003742754,0.0002204159,0.0003525664],"domain_scores_gemma":[0.9988871,0.0002880885,0.0001083576,0.0002136273,0.0004273194,0.00007549184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001566752,0.0009181442,0.4663438,0.0002595633,0.0008890175,0.0001944292,0.01471608,0.001641919,0.1262203,0.05988814,0.09602456,0.2313372],"study_design_scores_gemma":[0.004287246,0.0007059408,0.01173398,0.0001141334,0.0003390795,0.0002010702,0.01657621,0.03355679,0.04768506,0.001015917,0.8831051,0.0006795048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918925,0.0001496827,0.0005914032,0.00499767,0.0001242709,0.0004029144,0.00009261456,0.00008691667,0.001662076],"genre_scores_gemma":[0.9944847,0.0002120896,0.004002093,0.00008247344,0.0002788604,0.000001595174,0.00001079835,0.000005403661,0.0009220409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870805,"threshold_uncertainty_score":0.9987851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125166873948449,"score_gpt":0.3904165879441079,"score_spread":0.2652497139956589,"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."}}