{"id":"W2403377275","doi":"10.1080/03155986.2002.11732640","title":"Determinants Of Retail Electronic Purchasing: A Multi-Period Investigation1","year":2002,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Purchasing; Business; Commerce; Marketing; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004575036,0.0001119851,0.0002342573,0.0009817482,0.0004642177,0.0006297275,0.0004343412,0.0001773821,0.0003069592],"category_scores_gemma":[0.003118512,0.00008589682,0.00004579243,0.0009453612,0.0003503459,0.002510246,0.0001306839,0.000338553,0.0005560898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007302213,"about_ca_system_score_gemma":0.0001934308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008075518,"about_ca_topic_score_gemma":0.00003337624,"domain_scores_codex":[0.9961805,0.0001783183,0.001210115,0.0001747026,0.001921332,0.000335042],"domain_scores_gemma":[0.9969829,0.0002884122,0.0002627584,0.0003579922,0.001980646,0.0001273487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008249213,0.0001757608,0.5796007,0.0001190391,0.00003833549,0.000005431586,0.01491062,0.001071478,0.001035282,0.2788499,0.01262457,0.1114864],"study_design_scores_gemma":[0.002399308,0.0004680061,0.1744067,0.000124359,0.000007892566,0.0002591442,0.01193248,0.4707681,0.001186241,0.000968811,0.3370375,0.0004414685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937741,0.0002177689,0.001765503,0.000870383,0.000141092,0.0005822711,0.0000438211,0.00004375382,0.002561362],"genre_scores_gemma":[0.996292,0.00004683359,0.0004092624,0.00009423047,0.00002409472,0.00008169581,0.00001372346,0.000004641432,0.003033516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4696966,"threshold_uncertainty_score":0.7147595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2747402621555026,"score_gpt":0.4329957008910718,"score_spread":0.1582554387355692,"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."}}