{"id":"W2944888277","doi":"10.5539/ijms.v11n2p1","title":"Dynamic Attribute-Level Best Worst Discrete Choice Experiments","year":2019,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Decision maker; Discrete choice; Function (biology); Operations research; Markov decision process; Mathematical optimization; Management science; Econometrics; Markov process; Economics; Mathematics; Machine learning; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01745582,0.0008681795,0.001703609,0.0005885869,0.0004829183,0.002950845,0.001947151,0.001786952,0.006430134],"category_scores_gemma":[0.04759333,0.0004852529,0.001450643,0.001167812,0.001909419,0.003094289,0.001501804,0.002914098,0.0004567566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146115,"about_ca_system_score_gemma":0.0007663691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009268841,"about_ca_topic_score_gemma":0.0007189487,"domain_scores_codex":[0.987273,0.009597966,0.0003387227,0.001381353,0.0008372754,0.0005717353],"domain_scores_gemma":[0.9426063,0.04909547,0.002996398,0.003651284,0.0009104354,0.0007401321],"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":[0.002905461,0.001119389,0.007504432,0.0003521478,0.0003701989,0.0002268101,0.0005673206,0.5840546,0.004211082,0.3650205,0.001244404,0.03242373],"study_design_scores_gemma":[0.0002571355,0.0006696641,0.001627114,0.00004006908,0.00006878439,0.00005307648,0.0001058158,0.8015496,0.001760542,0.1922996,0.001482123,0.00008654847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4225738,0.0003334401,0.563114,0.0007870807,0.000147175,0.0007929755,0.001051842,0.0001965601,0.01100307],"genre_scores_gemma":[0.9222585,0.0001781528,0.07354075,0.0001654929,0.00002810477,0.0008114801,0.0002831943,0.00002037117,0.002713958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01745582,"threshold_uncertainty_score":0.09231627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472232441313706,"score_gpt":0.3145584795567004,"score_spread":0.1673352354253299,"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."}}