{"id":"W1496239473","doi":"","title":"Quantile Regression Analysis of the Rational Addiction Model: Making unobservable heterogeneity observable","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Unobservable; Consumption (sociology); Econometrics; Context (archaeology); Sample (material); Economics; Rational expectations; 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":[0.0105925,0.0007759501,0.002023737,0.001224904,0.0004620022,0.001596402,0.002210737,0.001385253,0.006562095],"category_scores_gemma":[0.03016957,0.0005165568,0.001500513,0.001949721,0.001025282,0.00199399,0.001363651,0.002758266,0.0006505849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151956,"about_ca_system_score_gemma":0.001388815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02708006,"about_ca_topic_score_gemma":0.009201485,"domain_scores_codex":[0.9971874,0.001667922,0.00007273569,0.000497837,0.0002333841,0.0003406907],"domain_scores_gemma":[0.9778867,0.01702894,0.00198759,0.001467819,0.001280818,0.0003481812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003232101,0.0001890843,0.06301439,0.0003533427,0.0008609908,0.0007093034,0.0005732285,0.5769166,0.0006269735,0.2705536,0.009419169,0.07646015],"study_design_scores_gemma":[0.00002672077,0.00005354003,0.007019854,0.00005167479,0.00008068436,0.00005174294,0.00009603525,0.9112628,0.0001276931,0.07894341,0.002259874,0.00002583891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1488093,0.00389457,0.835472,0.003585327,0.0001864472,0.0001576726,0.001346539,0.0007569265,0.005791211],"genre_scores_gemma":[0.939964,0.002576439,0.04613776,0.0005078751,0.0002890387,0.000191091,0.00140992,0.0001806376,0.00874333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02708006,"threshold_uncertainty_score":0.05601919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07537063232525783,"score_gpt":0.3069831767655284,"score_spread":0.2316125444402706,"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."}}