{"id":"W1986139238","doi":"10.4018/jisscm.2011010101","title":"Relational Attributes in Supply Chain Relationships","year":2011,"lang":"en","type":"article","venue":"International Journal of Information Systems and Supply Chain Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Supply chain; Business; Database transaction; Underpinning; Supply chain management; Affect (linguistics); Face (sociological concept); Knowledge management; Process management; Transaction cost; Marketing; Psychology; Computer science; Sociology","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":[0.004027079,0.0002333456,0.0002126131,0.00180026,0.001654654,0.004169698,0.0004520023,0.0006218603,0.00612449],"category_scores_gemma":[0.02765004,0.0002468626,0.000254321,0.003019765,0.002624576,0.004370357,0.002604255,0.0009306645,0.0004768837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165892,"about_ca_system_score_gemma":0.001048296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566156,"about_ca_topic_score_gemma":0.001456287,"domain_scores_codex":[0.9953951,0.002456139,0.0003130908,0.0003482528,0.001127472,0.0003598461],"domain_scores_gemma":[0.9622557,0.02139707,0.009318925,0.001512257,0.003066849,0.002449205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002961188,0.0005284363,0.6060151,0.0005856642,0.0003112442,0.00127673,0.0450226,0.01002839,0.0019767,0.2056324,0.002034532,0.1262921],"study_design_scores_gemma":[0.00006070366,0.0004958995,0.6570821,0.0005353353,0.0002566364,0.001729443,0.06371905,0.01756326,0.001333351,0.2139256,0.04311891,0.0001797045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156066,0.001592507,0.02253995,0.002285492,0.00005326412,0.0001534799,0.0002188313,0.00006056159,0.05748941],"genre_scores_gemma":[0.9979014,0.000248087,0.001163825,0.00004164785,0.00001522015,0.00001687769,0.00004195233,0.000004556947,0.0005663225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00612449,"threshold_uncertainty_score":0.02129751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04800164202901964,"score_gpt":0.2353186250507107,"score_spread":0.1873169830216911,"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."}}