{"id":"W2364829796","doi":"","title":"Enterprise Competitor Intelligence Information Mining Platform based the Internet","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Web mining; Web intelligence; Heuristic; World Wide Web; Web page; Information extraction; The Internet; Competitive intelligence; Path (computing); Process (computing); Data mining; Information retrieval; Data science; Web modeling; Knowledge management; Artificial intelligence","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":[0.0002445576,0.0001492646,0.0001230936,0.0001556048,0.0002234376,0.0005242504,0.001814573,0.0000444471,0.00001107258],"category_scores_gemma":[0.000001761988,0.0001149911,0.00009260876,0.0005870794,0.00006547978,0.0008270727,0.0003632402,0.0001387711,0.00047915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007210285,"about_ca_system_score_gemma":0.00008296073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006224127,"about_ca_topic_score_gemma":0.0000120085,"domain_scores_codex":[0.9989529,0.00002175234,0.0003524079,0.0002691517,0.0001810323,0.0002227693],"domain_scores_gemma":[0.9988932,0.00009490595,0.0001436659,0.0007010379,0.0000923949,0.00007480811],"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":[0.000003304282,0.000168655,0.000332236,0.00002742178,0.00005915314,0.000001768654,0.00421226,0.009070802,0.0003234932,0.07061318,0.003518931,0.9116688],"study_design_scores_gemma":[0.0004063993,0.00005499221,0.0008351122,0.00007947789,0.00002860472,0.00003245605,0.000234089,0.2109545,0.00860399,0.002315706,0.7760384,0.0004162698],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001861534,0.0000300428,0.9952843,0.00180877,0.00004008796,0.0002586495,0.0000118834,0.0001995733,0.0005051335],"genre_scores_gemma":[0.3815837,0.000004490058,0.6161231,0.001852602,0.0001071688,0.000194951,0.00009112898,0.000006548875,0.00003632207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9112525,"threshold_uncertainty_score":0.6158663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077066115603507,"score_gpt":0.2266985275613494,"score_spread":0.2159278664053143,"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."}}