{"id":"W2771697361","doi":"10.1016/j.ecolecon.2017.10.019","title":"Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives","year":2017,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Presentation (obstetrics); Set (abstract data type); Comprehension; Choice set; Citizen journalism; Computer science; Task (project management); Marketing; Management science; Economics; Business; Econometrics; World Wide Web; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004813138,0.0001649079,0.0004081895,0.0001559654,0.0003294478,0.0002812388,0.0002988989,0.00007943565,0.0003519506],"category_scores_gemma":[0.0001880203,0.0001924355,0.00003887717,0.00002724524,0.0001323357,0.0005906992,0.0002753806,0.00009770681,0.0002647308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627433,"about_ca_system_score_gemma":0.00001587687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002984726,"about_ca_topic_score_gemma":0.0007398673,"domain_scores_codex":[0.9985553,0.00001650073,0.0006347449,0.000512823,0.00001501324,0.0002656002],"domain_scores_gemma":[0.9991356,0.00008161972,0.0004089663,0.0002554017,0.000005365612,0.00011302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005397245,0.00008477209,0.9878287,0.000003845953,0.00002903786,0.000001197117,0.0006909372,0.006723262,0.00002013334,0.00344657,0.00001632538,0.001149841],"study_design_scores_gemma":[0.0004641525,0.00004200121,0.9849638,0.000009234722,0.000002695192,6.495977e-7,0.0002831013,0.01008462,0.0002692452,0.001896782,0.001730924,0.0002528257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915302,0.0001370668,0.0005134048,0.0002987693,0.0002207668,0.0002253733,0.00002018418,0.00001650885,0.007037685],"genre_scores_gemma":[0.9930104,0.0001700877,0.006200172,0.0003039626,0.00006218809,0.00006664256,0.00001364332,0.00001275227,0.0001601461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006877539,"threshold_uncertainty_score":0.7847292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368130272734687,"score_gpt":0.3203180969595681,"score_spread":0.08350506968609944,"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."}}