{"id":"W2151765473","doi":"10.1111/cjag.12013","title":"Including Management Policy Options in Discrete Choice Experiments: A Case Study of the Great Barrier Reef","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queensland Government","keywords":"Great barrier reef; Scope (computer science); Certainty; Choice modelling; Environmental resource management; Greenhouse gas; Environmental economics; Quality (philosophy); Discrete choice; Reef; Business; Risk analysis (engineering); Computer science; Economics; Econometrics; Fishery; Mathematics; Marketing","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":[0.0258908,0.0008916325,0.00137286,0.0007458655,0.00210403,0.002644723,0.001885317,0.004507988,0.004364636],"category_scores_gemma":[0.05095398,0.0006046252,0.001718021,0.002077546,0.002388392,0.002982893,0.001478413,0.004326483,0.0004547178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003339363,"about_ca_system_score_gemma":0.001927781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478109,"about_ca_topic_score_gemma":0.02451261,"domain_scores_codex":[0.9734711,0.02388296,0.0004792862,0.0006016554,0.0009044429,0.0006604878],"domain_scores_gemma":[0.7954701,0.1937265,0.00371911,0.003506391,0.00192539,0.001652508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.02101959,0.09666305,0.1729541,0.003601419,0.002211785,0.01148442,0.03691467,0.3403708,0.009033801,0.1423808,0.009416984,0.1539485],"study_design_scores_gemma":[0.01238505,0.04798657,0.0943986,0.0007474363,0.0009083902,0.001500423,0.03431646,0.6364328,0.01038217,0.1242058,0.03580148,0.0009349763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811372,0.0002490898,0.01017182,0.001210539,0.00003489288,0.0008143415,0.0003093074,0.00002593519,0.006047036],"genre_scores_gemma":[0.9650137,0.000336013,0.02963042,0.0003840203,0.00002984932,0.00174925,0.0002284388,0.00001585001,0.002612422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0258908,"threshold_uncertainty_score":0.1369253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08420998928386507,"score_gpt":0.2094285683165197,"score_spread":0.1252185790326546,"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."}}