{"id":"W2236945777","doi":"10.17975/sfj-2015-002","title":"The Correlation Between Distance Travelled And Spending","year":2015,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Order (exchange); Set (abstract data type); Statistical software; Advertising; Marketing; Statistical hypothesis testing; Test (biology); Computer science; Econometrics; Statistics; Business; Mathematics; Data science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005651531,0.0001663541,0.0002279876,0.001575223,0.0003695679,0.00100555,0.0005162831,0.0004653018,0.007985489],"category_scores_gemma":[0.007101124,0.0001724844,0.000411539,0.001748482,0.0004476942,0.0006210236,0.0007729414,0.0008624591,0.00114672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004632892,"about_ca_system_score_gemma":0.0002464734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352072,"about_ca_topic_score_gemma":0.007258753,"domain_scores_codex":[0.9991387,0.000263115,0.000134652,0.000123212,0.0002082227,0.0001320666],"domain_scores_gemma":[0.9915521,0.003309523,0.002410542,0.0003851424,0.0008169237,0.001525818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001076081,0.0000869319,0.9950743,0.00003114848,0.0001300697,0.00008109183,0.0003373981,0.0003132927,0.0002291194,0.0002149317,0.0002492926,0.003144766],"study_design_scores_gemma":[0.000002150529,0.00009660214,0.9973682,0.00001301301,0.00001951622,0.0002134073,0.0009124253,0.0003490135,0.00009654817,0.0001256161,0.0007944494,0.000009213381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960957,0.0002121155,0.0002035466,0.00006745861,0.00001197534,0.00000640353,0.0005623119,0.00000917196,0.002831247],"genre_scores_gemma":[0.9977437,0.0001202384,0.0002188256,0.00001161301,0.000009370605,0.000009906906,0.0005917095,0.000007725313,0.001286782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007985489,"threshold_uncertainty_score":0.02671415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07580228501511316,"score_gpt":0.2655769002332812,"score_spread":0.1897746152181681,"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."}}