{"id":"W1554939473","doi":"10.22004/ag.econ.27437","title":"THE IMPACT OF RESPONDENTS' CHARACTERISTICS ON PURCHASING DECISIONS","year":2000,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Quarter (Canadian coin); Per capita; Agricultural economics; Consumption (sociology); Economics; Business; Agribusiness; Marketing; Agriculture; Geography; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000779631,0.0001369877,0.0003850236,0.0002118354,0.00031296,0.00003731282,0.0005885895,0.0001086103,0.002352667],"category_scores_gemma":[0.00009679219,0.0001296511,0.0003021716,0.0002392438,0.0002038776,0.0002756629,0.00008838664,0.0002031662,0.00073053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039069,"about_ca_system_score_gemma":0.00004031242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007220957,"about_ca_topic_score_gemma":0.0001237915,"domain_scores_codex":[0.9989358,0.00004296773,0.0003466613,0.0002933885,0.00006648071,0.0003147341],"domain_scores_gemma":[0.9986272,0.0004595686,0.0002679581,0.0004481492,0.00007205638,0.0001250409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007301789,0.00242632,0.2163235,0.0001125928,0.002531474,0.0002108031,0.01323177,0.001006339,0.002504768,0.1743519,0.05983758,0.5201612],"study_design_scores_gemma":[0.001015005,0.0006958758,0.9575767,0.00005115092,0.00001284632,0.000007803755,0.0006975972,0.0006607816,0.0000878035,0.003158187,0.03575271,0.0002835755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960675,0.0002060692,0.00004466565,0.0005356809,0.00006542446,0.0001518158,0.0003240052,0.000007986696,0.03798934],"genre_scores_gemma":[0.9903284,0.002441816,0.0001750671,0.00002030022,0.00003594269,2.785744e-7,0.00001918134,0.00001044051,0.006968586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7412531,"threshold_uncertainty_score":0.9985593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554854764279852,"score_gpt":0.2356305023230323,"score_spread":0.2000819546802338,"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."}}