{"id":"W2351981297","doi":"","title":"Research on Association Analysis Algorithm of Strategic Performance Based on FP-Growth","year":2011,"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; Process (computing); Data mining; Constraint (computer-aided design); Algorithm; Set (abstract data type); Quality (philosophy); Clipping (morphology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008581838,0.0001631655,0.0002309502,0.0007670509,0.0003131157,0.0001121152,0.001452291,0.0001007421,0.00002632901],"category_scores_gemma":[0.000001400284,0.0001593111,0.0001250069,0.003580899,0.00005871084,0.0001789351,0.0001635245,0.0003026987,0.0002936214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437838,"about_ca_system_score_gemma":0.0001020998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000797461,"about_ca_topic_score_gemma":0.000003712239,"domain_scores_codex":[0.9979975,0.0001030789,0.0003697264,0.0006414244,0.0005244845,0.0003637699],"domain_scores_gemma":[0.9978933,0.0002675882,0.0002117708,0.001029066,0.0004919808,0.0001063218],"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":[0.0000140697,0.003204396,0.00328906,0.00006373944,0.0004864711,0.000002259102,0.0009020044,0.00206578,0.0008145457,0.1843212,0.00454586,0.8002906],"study_design_scores_gemma":[0.0003920783,0.0003451591,0.02591697,0.0000286756,0.0000805846,0.000001138072,0.00004543848,0.9467732,0.01208822,0.00318613,0.01080556,0.0003368875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004515065,0.000008814704,0.9851034,0.0002811863,0.00001549933,0.0004562646,0.0000949492,0.0001315843,0.009393297],"genre_scores_gemma":[0.2728287,0.00001201322,0.726052,0.0002178192,0.00007695228,0.0005468543,0.0001118784,0.00001326628,0.0001405195],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9447074,"threshold_uncertainty_score":0.6496516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0871039844103607,"score_gpt":0.3136047593439719,"score_spread":0.2265007749336111,"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."}}