{"id":"W7028723292","doi":"","title":"Gathering Customerâs Demand Data through Web 2.0 Community: Process and Architecture","year":2009,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Leverage (statistics); Architecture; Process (computing); Data collection; Channel (broadcasting); Systems architecture; Business process; Track (disk drive)","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":[0.01376036,0.000642192,0.0006815584,0.005770789,0.002331138,0.00716653,0.001653233,0.001539519,0.00206056],"category_scores_gemma":[0.01831591,0.001134737,0.0007145838,0.005248587,0.002206514,0.007657163,0.003459152,0.001413119,0.001217991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279388,"about_ca_system_score_gemma":0.006226082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00985595,"about_ca_topic_score_gemma":0.007544495,"domain_scores_codex":[0.9918295,0.003757065,0.0005823597,0.000993196,0.002495517,0.0003424734],"domain_scores_gemma":[0.9815352,0.008731161,0.00142695,0.00251431,0.004913686,0.0008788422],"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":[0.0007151116,0.002711377,0.1335828,0.0009921265,0.0001926138,0.0006443094,0.02459914,0.0138809,0.0224911,0.1183166,0.009452604,0.6724215],"study_design_scores_gemma":[0.0003655554,0.002232923,0.09203001,0.0009695148,0.0003599089,0.001704948,0.01719744,0.4697965,0.07513273,0.2056578,0.1336126,0.0009399496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1779509,0.0002858961,0.7797384,0.004636317,0.00006036548,0.006143808,0.001200518,0.005991043,0.02399283],"genre_scores_gemma":[0.4527973,0.0003250471,0.5363109,0.0002549073,0.00006190049,0.002545325,0.001634288,0.0002912815,0.005779146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01376036,"threshold_uncertainty_score":0.07277262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488937412463078,"score_gpt":0.3318275092080323,"score_spread":0.2829337679617245,"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."}}