{"id":"W7061550372","doi":"","title":"Predicting SMEs Willingness to Adopt ERP, CRM, SCM & E-Procurement Systems","year":2008,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University; Harvard Business School","keywords":"Innovation diffusion; Early adopter; Information system; Regression analysis; Information technology; Multilevel model","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002533029,0.0002439196,0.0001878979,0.001110181,0.0003052904,0.001376091,0.0002727258,0.001293722,0.006842728],"category_scores_gemma":[0.01583561,0.0001694198,0.0005234049,0.001044566,0.0003380323,0.001276034,0.0005791903,0.0009131892,0.001111371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356801,"about_ca_system_score_gemma":0.0005066533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543602,"about_ca_topic_score_gemma":0.004393663,"domain_scores_codex":[0.998828,0.0004513903,0.0001732066,0.00009570109,0.0002228103,0.0002288458],"domain_scores_gemma":[0.9729264,0.01582765,0.005451819,0.0007121268,0.002671942,0.002409958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001610083,0.0003152221,0.99296,0.00001986488,0.00005103896,0.000103779,0.0001452897,0.0008070782,0.0004504161,0.00007628651,0.0001524937,0.004757463],"study_design_scores_gemma":[0.00002608956,0.0007461142,0.9850298,0.00003344176,0.00006330468,0.0002611878,0.002834455,0.009422153,0.0007979671,0.0002225207,0.0005459841,0.00001707062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988289,0.00001820786,0.00009448652,0.00011129,0.000002132359,0.000005770628,0.00006449415,0.000002257585,0.0008724577],"genre_scores_gemma":[0.9993861,0.00002074275,0.0001272503,0.00003418926,0.00000488023,0.000005907254,0.0001060438,0.000001250571,0.0003137412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006842728,"threshold_uncertainty_score":0.02289122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141819432671681,"score_gpt":0.2593054518377766,"score_spread":0.2378872575110598,"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."}}