{"id":"W7023911184","doi":"","title":"A preliminary study of electronic commerce and its implications for China /","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"China; Payment; Government (linguistics); E-commerce; Exploratory research; Alliance; Backwardness; Information technology","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":[0.001515196,0.0002577768,0.0002108336,0.001748219,0.003398978,0.002742892,0.0004487228,0.0006827592,0.009097043],"category_scores_gemma":[0.002684346,0.0001927035,0.0002406291,0.005760861,0.002452076,0.002532065,0.001010783,0.001129659,0.0002966953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004381,"about_ca_system_score_gemma":0.006226445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08612926,"about_ca_topic_score_gemma":0.1215471,"domain_scores_codex":[0.9994925,0.00021841,0.00002497475,0.00004125356,0.00007660085,0.0001461374],"domain_scores_gemma":[0.9982816,0.0008106205,0.000223695,0.0000481693,0.000281395,0.0003544947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005062845,0.001742702,0.5625862,0.0009665389,0.00003994179,0.007227256,0.1386669,0.0009382608,0.002229442,0.1650776,0.008491148,0.1115277],"study_design_scores_gemma":[0.00004202078,0.0005548571,0.7066762,0.0004349736,0.00002720683,0.0003237348,0.2546644,0.001045662,0.0004837561,0.004793291,0.03092597,0.0000279221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489134,0.001101404,0.0001148279,0.006050026,0.00002699161,0.00009625831,0.0001303702,0.000003696503,0.0435629],"genre_scores_gemma":[0.9940631,0.001455737,0.0002020055,0.0004181283,0.00001621001,0.00005035523,0.00006571194,0.000001445816,0.003727361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08612926,"threshold_uncertainty_score":0.1712558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07453478914341971,"score_gpt":0.3583272036879922,"score_spread":0.2837924145445725,"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."}}