{"id":"W2804115118","doi":"10.1002/mar.21113","title":"Places as authentic consumption contexts","year":2018,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Arizona State University","keywords":"Nomological network; Value (mathematics); Psychology; Marketing; Consumption (sociology); Set (abstract data type); Consumer behaviour; Construct (python library); Order (exchange); Scale (ratio); Consumer research; Advertising; Social psychology; Sociology; Business; Computer science; Social science; Service (business)","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":[0.001383861,0.0003222291,0.0002044137,0.001253171,0.002721467,0.00745855,0.0007529635,0.001032482,0.006616352],"category_scores_gemma":[0.003464452,0.0002310524,0.0003012952,0.001149401,0.0154428,0.006062706,0.007875347,0.001208217,0.0004402681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529096,"about_ca_system_score_gemma":0.001155611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238948,"about_ca_topic_score_gemma":0.001460618,"domain_scores_codex":[0.9973686,0.001823939,0.00006731536,0.0002160676,0.0002939031,0.0002301938],"domain_scores_gemma":[0.9970054,0.0009028046,0.0005964981,0.0006650721,0.0003012266,0.000529004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008755271,0.0000734441,0.006007988,0.0001959014,0.00001701935,0.0004741374,0.08495091,0.0005844924,0.001010125,0.8787931,0.001165048,0.02664031],"study_design_scores_gemma":[0.00003687198,0.0002446944,0.01707279,0.0006240871,0.00004804526,0.001253363,0.2421764,0.002354558,0.002062772,0.4953963,0.2386573,0.0000730321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5120192,0.002488763,0.03018971,0.004240139,0.0002404518,0.000106621,0.0001057321,0.0001031487,0.4505062],"genre_scores_gemma":[0.9966651,0.0002529311,0.001142201,0.00005827238,0.0000150439,0.00001126579,0.00001276953,0.000007025529,0.001835433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00745855,"threshold_uncertainty_score":0.02213389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779288108034734,"score_gpt":0.315447068058817,"score_spread":0.2876541869784697,"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."}}