{"id":"W4387427308","doi":"10.1016/j.retrec.2023.101358","title":"Online shopping, brick-and-mortar retailers and transit ridership in the U.S.","year":2023,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Brick and mortar; Business; Public transport; Shopping mall; Advertising; Transit (satellite); Marketing; Probit; Transport engineering; The Internet; Economics; Engineering; Computer science","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":[0.0003153614,0.0001190807,0.0001263638,0.0008797709,0.000610617,0.001029479,0.0002555555,0.0005165051,0.007952453],"category_scores_gemma":[0.001476578,0.0001539853,0.0002743037,0.00211983,0.0004446641,0.001059164,0.0005858233,0.0007204874,0.0007499208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007754516,"about_ca_system_score_gemma":0.001004137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2520435,"about_ca_topic_score_gemma":0.5127317,"domain_scores_codex":[0.9998485,0.00004871923,0.0000132272,0.00002412716,0.00002924463,0.00003619263],"domain_scores_gemma":[0.9978934,0.0005439795,0.0007142501,0.0000578555,0.0002758721,0.0005146876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000511189,0.0001675856,0.9849427,0.00002009479,0.00003643686,0.00006575075,0.0009671437,0.0001136178,0.00003210015,0.0004631557,0.00576668,0.007373601],"study_design_scores_gemma":[0.000004649635,0.00003660205,0.9913952,0.00005243691,0.00002620695,0.00005406172,0.005340051,0.0002997587,0.000019263,0.0001451491,0.002622306,0.000004478082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914938,0.001134612,0.00003566015,0.002049985,0.00004229735,0.000004228422,0.001077969,0.000005698571,0.004155681],"genre_scores_gemma":[0.9950873,0.001154208,0.00005301516,0.0002720502,0.0000429999,0.000005028724,0.0006772209,0.000003470523,0.00270473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520435,"threshold_uncertainty_score":0.501153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2152159371536422,"score_gpt":0.3529258795452075,"score_spread":0.1377099423915653,"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."}}