{"id":"W115324737","doi":"","title":"Investigating floodproofing strategies for historic settlement areas of the Fraser River Basin, British Columbia, Canada : a complementary application of multi attribute decision making and stated preference discrete choice modelling","year":2004,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Preference; Geography; Archaeology; Computer science; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00120059,0.0005287185,0.0006795899,0.001239078,0.001880545,0.002938044,0.002162163,0.0009672095,0.003088207],"category_scores_gemma":[0.006634567,0.0005130541,0.0006951599,0.002778741,0.001439549,0.001061449,0.0007737745,0.0008776644,0.0001354572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02417052,"about_ca_system_score_gemma":0.01906303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861027,"about_ca_topic_score_gemma":0.994504,"domain_scores_codex":[0.9994636,0.0001568582,0.00002269461,0.00009462495,0.00008773806,0.0001745392],"domain_scores_gemma":[0.9978581,0.001205345,0.0001874591,0.0000764258,0.0004339626,0.0002386415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005980014,0.0006290719,0.4205282,0.0002825672,0.0005962201,0.0006016992,0.005666387,0.4996558,0.002917773,0.01224879,0.003881057,0.05239432],"study_design_scores_gemma":[0.00008707456,0.0001786257,0.359331,0.00007229557,0.000270823,0.00007796571,0.0203157,0.6104562,0.001113752,0.005419896,0.002555097,0.0001215748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967085,0.00008821963,0.001509051,0.0001286637,0.000001801883,0.00005382132,0.0004498405,0.000009903566,0.001050088],"genre_scores_gemma":[0.9945279,0.0001200232,0.003072279,0.00001651917,0.000001193919,0.00002801104,0.0004367769,0.000008927646,0.001788436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02417052,"threshold_uncertainty_score":0.1753703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05105351502468274,"score_gpt":0.2099719193291048,"score_spread":0.158918404304422,"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."}}