{"id":"W2122822397","doi":"10.1023/a:1020254301302","title":"Hybrid Choice Models: Progress and Challenges","year":2002,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":775,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Université Laval","funders":"","keywords":"Computer science; Context (archaeology); Latent variable; Discrete choice; Process (computing); Perception; Segmentation; Econometrics; Artificial intelligence; Machine learning; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01542477,0.001416546,0.003544465,0.001401544,0.0006279965,0.007698156,0.00547271,0.003886191,0.007150013],"category_scores_gemma":[0.02734071,0.001561385,0.001610489,0.002802877,0.003812481,0.01291135,0.002830433,0.004435896,0.001292219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002240675,"about_ca_system_score_gemma":0.001235659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005950827,"about_ca_topic_score_gemma":0.005024641,"domain_scores_codex":[0.9928457,0.005396217,0.0001632255,0.0006640011,0.0007172443,0.0002136489],"domain_scores_gemma":[0.9302369,0.06452471,0.001210736,0.001818763,0.001426446,0.0007824192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005867732,0.0004760404,0.005902247,0.0005926812,0.0005756951,0.0001034781,0.0004614199,0.2394206,0.000195884,0.6041989,0.01003317,0.1374531],"study_design_scores_gemma":[0.00007224295,0.00004549463,0.0005261191,0.00005678283,0.00004006021,0.00004012407,0.0001109267,0.5452437,0.00006302669,0.4480565,0.005698494,0.00004650768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04865846,0.02054645,0.9098438,0.01255654,0.0005264338,0.00005830478,0.0005211761,0.000347709,0.006941156],"genre_scores_gemma":[0.6541981,0.02242048,0.3010638,0.002686485,0.002204805,0.0003456185,0.001334937,0.0003417878,0.01540386],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01542477,"threshold_uncertainty_score":0.08157498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1485257938604813,"score_gpt":0.1926207200486441,"score_spread":0.0440949261881628,"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."}}