{"id":"W2024188264","doi":"10.1007/s10257-004-0038-2","title":"The e-business capability of small and medium sized firms in international supply chains","year":2004,"lang":"en","type":"article","venue":"Information Systems and e-Business Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Business; Interview; Small and medium-sized enterprises; Industrial organization; Typology; Supply chain; The Internet; Empirical research; China; Latin Americans; Marketing; Process (computing); Commerce; Electronic business; Business networking; Business model; Finance","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":[0.001052803,0.0001517218,0.0001745615,0.001802829,0.0006361194,0.002285,0.0004540535,0.0006835975,0.004603599],"category_scores_gemma":[0.008058183,0.0001514855,0.000230291,0.001708812,0.001048371,0.002580427,0.001788605,0.0005506063,0.0004232321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009162482,"about_ca_system_score_gemma":0.0008200954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220397,"about_ca_topic_score_gemma":0.02635393,"domain_scores_codex":[0.9995896,0.00009499685,0.00003939247,0.00004850785,0.00007112589,0.0001562456],"domain_scores_gemma":[0.9908015,0.004483469,0.00152145,0.0001652266,0.0009752656,0.002053128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004948764,0.0002065745,0.9803766,0.00002220629,0.00004896044,0.0003144144,0.006346965,0.001444277,0.001018077,0.001700989,0.0002381273,0.007787805],"study_design_scores_gemma":[0.00001457962,0.0001780901,0.972225,0.0000389001,0.00002737003,0.0001516557,0.02208313,0.00190643,0.0003944298,0.002075412,0.0008841269,0.00002092522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983542,0.00004472714,0.00003001988,0.00005276703,7.921035e-7,0.000002131841,0.00004224725,6.704836e-7,0.001472428],"genre_scores_gemma":[0.9996748,0.0000210959,0.00001074168,0.000006791799,9.244394e-7,0.000001305179,0.00003684759,4.006536e-7,0.000247174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02220397,"threshold_uncertainty_score":0.04414946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011597529006384,"score_gpt":0.208470959187519,"score_spread":0.196873430181135,"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."}}