{"id":"W1423174625","doi":"10.1007/978-3-642-17449-0_30","title":"My How You’ve Grown! eProcurement in the Post-Dot-Bomb Era","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Principal (computer security); Success factors; Business; Critical success factor; Knowledge management; Marketing; Public relations; Process management; Political science; Computer science; Computer security; Business administration","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":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002276887,0.0005783813,0.0006027455,0.001945532,0.0003627264,0.001393541,0.001755259,0.001423363,0.0003635573],"category_scores_gemma":[0.00339653,0.0003782364,0.0001272331,0.001207565,0.0003268304,0.002769819,0.0002318496,0.002533569,0.0002043023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493815,"about_ca_system_score_gemma":0.0004526149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000206297,"about_ca_topic_score_gemma":0.0004188656,"domain_scores_codex":[0.9956492,0.00005508534,0.001408724,0.0005281176,0.001905252,0.0004536681],"domain_scores_gemma":[0.9956014,0.0003657044,0.001331242,0.0009533968,0.001693581,0.00005470582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008683795,0.00006626062,0.004145194,0.0001820345,0.00001086126,0.00002805248,0.008480852,0.0005438924,0.0001149433,0.008251827,0.0003090844,0.9777802],"study_design_scores_gemma":[0.003362434,0.0001420742,0.1134641,0.001928719,0.0001405438,0.0003806551,0.001784972,0.002142072,0.001053077,0.3000154,0.5725467,0.003039217],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05694187,0.004169308,0.5279642,0.2401345,0.007478324,0.00792764,0.000334939,0.001633854,0.1534154],"genre_scores_gemma":[0.9856714,0.00007104266,0.005002127,0.006838826,0.000225253,0.0001012148,0.0002529382,0.00005251188,0.001784697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9747409,"threshold_uncertainty_score":0.999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688123337538454,"score_gpt":0.3087099954433853,"score_spread":0.2618287620680008,"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."}}