{"id":"W2626930365","doi":"","title":"Introduction: Special Issue on Open Source Intelligence and Web Mining","year":2011,"lang":"en","type":"article","venue":"International Journal of Networking and Virtual Organisations","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Open source; Computer science; Web mining; World Wide Web; Data science; Data mining; Information retrieval; Web page; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002168742,0.001784626,0.002214406,0.005845057,0.001408017,0.005597407,0.001974218,0.003341668,0.07496646],"category_scores_gemma":[0.006580644,0.0006293199,0.001377362,0.003817428,0.0008787288,0.006549406,0.002123195,0.004359345,0.0455826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112651,"about_ca_system_score_gemma":0.001420489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007733587,"about_ca_topic_score_gemma":0.002548968,"domain_scores_codex":[0.9985348,0.0001512121,0.0001613022,0.000334016,0.0006975012,0.0001211935],"domain_scores_gemma":[0.9923463,0.001968205,0.0005742486,0.0006304891,0.003106226,0.001374552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002206008,0.00004309938,0.0001319528,0.0002945061,0.00001637299,0.00005480221,0.00001162723,0.00006586646,0.0002694744,0.001116819,0.9463901,0.05158333],"study_design_scores_gemma":[0.000007603024,0.00003650719,0.0007512945,0.0001996898,0.00001819007,0.0002404553,0.00001917377,0.0002436879,0.0001853011,0.003643714,0.9946396,0.00001491951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0006528753,0.05397755,0.008055099,0.04542547,0.8560078,0.0001243027,0.001100475,0.0005894514,0.03406688],"genre_scores_gemma":[0.002681789,0.03266221,0.003016253,0.01445984,0.7811182,0.00009212971,0.002170403,0.0006114413,0.1631878],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07496646,"threshold_uncertainty_score":0.2507878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635805193519723,"score_gpt":0.2829452496503548,"score_spread":0.2365871977151576,"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."}}