{"id":"W250935526","doi":"10.4018/ijisscm.2015010101","title":"Relationship between Information Richness and Exchange Outcomes","year":2015,"lang":"en","type":"article","venue":"International Journal of Information Systems and Supply Chain Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"The Internet; Information exchange; Business; Corporate governance; Plural; Knowledge management; Computer science; Finance; Telecommunications","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":[0.004356194,0.0003780345,0.0003078631,0.003079768,0.0009873835,0.003009316,0.0003559742,0.0005180464,0.006781749],"category_scores_gemma":[0.02949416,0.0001523472,0.0003536941,0.002158035,0.001317839,0.003901092,0.003339469,0.001078221,0.0003642498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005874484,"about_ca_system_score_gemma":0.0006366562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008417932,"about_ca_topic_score_gemma":0.0006969071,"domain_scores_codex":[0.9970711,0.001147627,0.000407922,0.000227147,0.0007928972,0.0003531581],"domain_scores_gemma":[0.9375349,0.03854367,0.01553221,0.002806765,0.002474094,0.003108341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002778594,0.000678283,0.9524768,0.0002257964,0.0002522752,0.0003336178,0.004816688,0.001014157,0.001507705,0.005037208,0.0002505274,0.03312912],"study_design_scores_gemma":[0.0000466565,0.0004724263,0.9718108,0.0001318563,0.0002169587,0.0003607132,0.01345298,0.002484845,0.00167617,0.006533161,0.00277291,0.00004048506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875323,0.0001558912,0.0009903616,0.0002169721,0.000004924864,0.00005859857,0.0001405184,0.00001444223,0.01088598],"genre_scores_gemma":[0.9990809,0.00008354129,0.0003048339,0.00001582606,0.00001121821,0.00002353116,0.000113659,0.000002708244,0.0003637344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006781749,"threshold_uncertainty_score":0.02303803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214642855089277,"score_gpt":0.3009397563201217,"score_spread":0.2687933277692289,"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."}}