{"id":"W2072482601","doi":"10.1068/b3320t","title":"A Discrete-Choice Approach to Modeling Social Influence on Individual Decision Making","year":2008,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Discrete choice; Multinomial logistic regression; Computer science; Multinomial distribution; Action (physics); Position (finance); Management science; Microeconomics; Econometrics; Economics; Machine learning","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":[0.003701565,0.001136328,0.00154366,0.001254998,0.0009163612,0.002150832,0.002361614,0.002423357,0.01018057],"category_scores_gemma":[0.009254629,0.0005708272,0.001538313,0.001634119,0.001958376,0.002086911,0.001077999,0.002589726,0.0009930757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442958,"about_ca_system_score_gemma":0.001752513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00925431,"about_ca_topic_score_gemma":0.008427593,"domain_scores_codex":[0.9959669,0.00289881,0.00008945942,0.0003910812,0.000406019,0.0002477244],"domain_scores_gemma":[0.9928896,0.005967495,0.0004145159,0.0001949897,0.0002578394,0.0002755324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001002892,0.0002821962,0.002736847,0.0001333429,0.0001793986,0.0002500614,0.0004268952,0.5230605,0.0004297938,0.4565612,0.001192279,0.01464722],"study_design_scores_gemma":[0.00007794859,0.0001285355,0.0005236189,0.00002207945,0.00004641867,0.00004413072,0.000104812,0.8404183,0.0001160922,0.1552122,0.003279559,0.00002626953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04593658,0.0007468896,0.9238117,0.00300999,0.0002244146,0.0003265766,0.000579749,0.0001051251,0.02525912],"genre_scores_gemma":[0.8444291,0.001698093,0.1339764,0.000450245,0.0003294358,0.001101245,0.0002792757,0.00003558633,0.0177006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01018057,"threshold_uncertainty_score":0.03405738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07703939032949278,"score_gpt":0.2686667085520077,"score_spread":0.191627318222515,"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."}}