{"id":"W3005207898","doi":"10.1002/cb.1812","title":"Shopping less with shopping lists: Planning individual expenses ahead of time affects purchasing behavior when online grocery shopping","year":2020,"lang":"en","type":"article","venue":"Journal of Consumer Behaviour","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Grocery shopping; Purchasing; Advertising; Task (project management); Grocery store; Business; Control (management); Affect (linguistics); Marketing; Plan (archaeology); Psychology; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006910773,0.0006815352,0.00141313,0.0008841522,0.000385017,0.0004890513,0.0008338912,0.0001693461,0.0001667749],"category_scores_gemma":[0.0003296205,0.0006165376,0.000395269,0.0007094298,0.0003211138,0.002135387,0.000577853,0.0009665443,0.00002086611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109141,"about_ca_system_score_gemma":0.0002219248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122611,"about_ca_topic_score_gemma":0.0001018524,"domain_scores_codex":[0.9958245,0.00007568688,0.001459882,0.0005467943,0.001343424,0.0007497462],"domain_scores_gemma":[0.9961646,0.0002355051,0.002233539,0.0003442208,0.0008818903,0.0001402962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003211711,0.0004283701,0.9625759,0.0002935942,0.0003414215,0.001051519,0.0008672223,0.00004273704,0.007119839,0.00001572317,0.0005128188,0.02642974],"study_design_scores_gemma":[0.008474833,0.0004783521,0.9549259,0.006133039,0.008867147,0.0009795405,0.01294885,0.0005704185,0.0008249772,0.00001260472,0.003378244,0.002406122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940706,0.003161791,0.0004766633,0.001038036,0.0003843906,0.0005197076,0.00003547014,0.0001322305,0.0001810839],"genre_scores_gemma":[0.9969206,0.00004229925,0.001794318,0.0004456664,0.0005671639,0.00001870692,0.00004021263,0.0001375202,0.00003346188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402362,"threshold_uncertainty_score":0.9996286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0835555285137497,"score_gpt":0.2791925727301324,"score_spread":0.1956370442163827,"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."}}