{"id":"W3176111233","doi":"10.1177/14707853211023036","title":"Predicting m-shopping in the two largest m-commerce markets: The United States and China","year":2021,"lang":"en","type":"article","venue":"International Journal of Market Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Chicoutimi","funders":"Li Ka Shing Foundation","keywords":"China; Context (archaeology); Control (management); Advertising; Perceived control; Psychology; Theory of planned behavior; Marketing; Chinese market; Business; Social psychology; Economics; Political science; Geography","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":[0.0007508508,0.0002941733,0.0002697825,0.001513511,0.0005725095,0.000909451,0.0002249376,0.0002967542,0.001543136],"category_scores_gemma":[0.0016306,0.0001277402,0.0004278783,0.00193808,0.0004418422,0.0006421654,0.0007505374,0.0003959043,0.0001743808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005869816,"about_ca_system_score_gemma":0.0006953567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07211427,"about_ca_topic_score_gemma":0.1035809,"domain_scores_codex":[0.9997936,0.00004880538,0.00001929531,0.00003177481,0.00004583748,0.00006070372],"domain_scores_gemma":[0.9986524,0.0002737527,0.0004322812,0.00005318186,0.0002128419,0.0003755606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002723211,0.00004386563,0.9971854,0.000004787315,0.00001789111,0.00005078728,0.0002602845,0.0000886039,0.0001402214,0.0001053469,0.0001360925,0.001939443],"study_design_scores_gemma":[0.000003929162,0.00002189639,0.9976853,0.000003771445,0.0000102533,0.00002781461,0.0009051809,0.00106963,0.00007218428,0.00003902441,0.000156963,0.000004046763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994093,0.00002642807,0.000036758,0.00003570545,0.000002176584,0.000004034281,0.00007862667,0.000001463532,0.0004055441],"genre_scores_gemma":[0.9995466,0.00002645258,0.00005367337,0.00001946873,0.000002043116,0.000004400354,0.0001921795,0.000001151218,0.0001540848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07211427,"threshold_uncertainty_score":0.143389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1622574286624895,"score_gpt":0.486383968705202,"score_spread":0.3241265400427124,"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."}}