{"id":"W2078615059","doi":"10.1509/jmkr.45.6.665","title":"The Effect of Partitions on Controlling Consumption","year":2008,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Consumption (sociology); Context (archaeology); Control (management); Decision process; Resource (disambiguation); Computer science; Habituation; Econometrics; Microeconomics; Economics; Psychology; Artificial intelligence","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":[0.002333029,0.0008585516,0.0005078379,0.0005149824,0.0006283039,0.001984996,0.0008428792,0.0008453711,0.004232266],"category_scores_gemma":[0.02966627,0.0003826549,0.0007181328,0.0005295814,0.001513341,0.001567093,0.001854462,0.0008861088,0.0003843716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098982,"about_ca_system_score_gemma":0.000610231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004645055,"about_ca_topic_score_gemma":0.003404748,"domain_scores_codex":[0.9977958,0.001085906,0.0001604663,0.0004145005,0.0003548609,0.0001885116],"domain_scores_gemma":[0.9597875,0.0281087,0.004885776,0.005085098,0.001033014,0.001099833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03184913,0.008993871,0.4373191,0.00110903,0.002301852,0.000812986,0.01413721,0.02845343,0.07398257,0.01797381,0.002798759,0.3802682],"study_design_scores_gemma":[0.00114787,0.009002068,0.8962165,0.0002050665,0.001637241,0.0003443437,0.003180429,0.02114166,0.0305606,0.02282843,0.01348352,0.0002521825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909079,0.000294246,0.002375439,0.0001625013,0.00003730277,0.00006885892,0.00006085808,0.00005165619,0.006041127],"genre_scores_gemma":[0.9961632,0.000147991,0.002090169,0.00009833412,0.00002409924,0.0000633787,0.00009572681,0.00002705935,0.001290038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004645055,"threshold_uncertainty_score":0.01415831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3590184201028749,"score_gpt":0.5238326286858027,"score_spread":0.1648142085829278,"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."}}