{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002627055,0.00007536027,0.0001462033,0.0003884411,0.0001217563,0.0006233103,0.0001780155,0.00005749001,0.00000346248],"category_scores_gemma":[0.0007282316,0.00006507568,0.00003345865,0.000113271,0.00006447556,0.003364417,0.00006216388,0.00008398369,0.00001288411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132144,"about_ca_system_score_gemma":0.00005053921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002043639,"about_ca_topic_score_gemma":0.000007522926,"domain_scores_codex":[0.9983021,0.0001106099,0.0005763613,0.00003585813,0.0008640857,0.0001109859],"domain_scores_gemma":[0.9985312,0.0002193741,0.0004765207,0.00004356521,0.0005739281,0.0001553815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003455414,0.00001134717,0.7587059,0.00007934788,0.0001018093,0.000003946735,0.03971107,0.00004374213,2.108554e-8,0.1439476,0.004629986,0.05273063],"study_design_scores_gemma":[0.001095252,0.00004305257,0.4218007,0.0001157632,0.00002419952,0.000007813934,0.07177472,0.00006398518,1.458552e-7,0.001993097,0.5029527,0.0001286131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7014874,0.0004703942,0.01676482,0.01496466,0.006937185,0.001004352,0.00008558956,0.00009507101,0.2581905],"genre_scores_gemma":[0.9987171,0.00009311268,0.000239307,0.0001982431,0.0002492586,0.000007990119,0.00002074551,0.000002341365,0.000471938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4983227,"threshold_uncertainty_score":0.6010596,"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."}}