{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002475075,0.0006099293,0.0005509158,0.001936649,0.0003455886,0.002016074,0.000770982,0.001274997,0.01152144],"category_scores_gemma":[0.02367039,0.0004181542,0.0008103028,0.00119675,0.001070664,0.001913577,0.001341256,0.0007868168,0.0006269729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006947714,"about_ca_system_score_gemma":0.0003075982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003064143,"about_ca_topic_score_gemma":0.003360658,"domain_scores_codex":[0.9983114,0.001225833,0.00005991875,0.0001101906,0.0002202889,0.00007243348],"domain_scores_gemma":[0.9727586,0.02422639,0.001027669,0.0008031692,0.0007315406,0.0004526644],"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":[0.03257456,0.005519764,0.07866932,0.01002817,0.001475233,0.002016769,0.03112079,0.1618825,0.1813806,0.03273242,0.01433867,0.4482612],"study_design_scores_gemma":[0.002241183,0.005612102,0.265511,0.001673819,0.0007675868,0.00114068,0.01302918,0.5615923,0.04458668,0.07972053,0.02337185,0.0007530792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228397,0.001342987,0.06456787,0.0005059691,0.0001699098,0.0005089361,0.002533122,0.0005124187,0.00701912],"genre_scores_gemma":[0.9502593,0.0004989628,0.04656603,0.00008283503,0.00006205921,0.0003750334,0.0009118152,0.0001448074,0.001099135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152144,"threshold_uncertainty_score":0.03854305,"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."}}