{"id":"W2522484123","doi":"","title":"B2B Marketers Integrate Precision Search to Boost Profitabilityand Increase Satisfaction Across the eCommerce Value Chain","year":2005,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Database transaction; Perspective (graphical); Value (mathematics); Productivity; Transaction cost; Marketing; Business; Database; Artificial intelligence; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173442,0.0004758792,0.0005243027,0.002171012,0.00122428,0.004285218,0.0005731368,0.001818004,0.008515127],"category_scores_gemma":[0.004807407,0.0003443222,0.0003865724,0.002421369,0.0007937215,0.004559638,0.001862458,0.00087296,0.00283347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939337,"about_ca_system_score_gemma":0.001233754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003405375,"about_ca_topic_score_gemma":0.005171402,"domain_scores_codex":[0.9984215,0.0003439587,0.00008305401,0.0001425896,0.0007557276,0.0002530055],"domain_scores_gemma":[0.9962958,0.001406776,0.0008218404,0.0005079382,0.0006385276,0.0003291846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005011158,0.001797627,0.08413311,0.0005389725,0.000129947,0.0008818142,0.003120935,0.004214548,0.0473,0.04566669,0.008040794,0.8036744],"study_design_scores_gemma":[0.0008209918,0.007004988,0.474792,0.0007764841,0.0004066431,0.009082014,0.0123556,0.07253806,0.06165823,0.1057953,0.2542136,0.0005560871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955041,0.001965913,0.09739881,0.003228754,0.00009514194,0.0006279532,0.0001730455,0.001104908,0.1999014],"genre_scores_gemma":[0.9441851,0.0007547798,0.0409859,0.0005211913,0.00009255784,0.00009035246,0.0001296828,0.0001005909,0.01313988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008515127,"threshold_uncertainty_score":0.02848589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101980966349982,"score_gpt":0.2700442244330284,"score_spread":0.2490244147695286,"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."}}