{"id":"W3184910468","doi":"10.22215/etd/2021-14547","title":"Spatial Prioritization of Cost-Efficient Habitat Protection for Species at Risk in Ontario","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Easement; Prioritization; Habitat; Species richness; Land use; Environmental resource management; Business; Geography; Population; Opportunity cost; Environmental planning; Ecology; Environmental science; Economics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006376691,0.0002554534,0.0003528834,0.0007185586,0.0007186842,0.001315675,0.0006260793,0.0002969823,0.003106396],"category_scores_gemma":[0.003195597,0.0002300395,0.0003309311,0.001181459,0.000701931,0.000765118,0.0005952885,0.0002771811,0.00009312622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01853667,"about_ca_system_score_gemma":0.0100298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8796579,"about_ca_topic_score_gemma":0.9505421,"domain_scores_codex":[0.9994684,0.0001186659,0.00002025997,0.00006151241,0.0001314705,0.0001997826],"domain_scores_gemma":[0.9988266,0.0004826818,0.0002424433,0.0000563692,0.0002226273,0.0001692614],"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":[0.0006304233,0.0001748587,0.4259392,0.0003993231,0.000237618,0.0008452887,0.001791234,0.4361935,0.003336784,0.02759297,0.008200304,0.09465849],"study_design_scores_gemma":[0.00009327582,0.0001574831,0.4950839,0.0001152138,0.0001253511,0.0002427619,0.004683192,0.4651994,0.001018793,0.02021375,0.0129925,0.000074371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819516,0.0002987151,0.005096965,0.0006614365,0.000006177196,0.00008121633,0.000886821,0.00002281089,0.01099429],"genre_scores_gemma":[0.9943105,0.0002253808,0.0032019,0.00001788084,0.000002851496,0.00001301756,0.0002978228,0.000006186676,0.00192443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1203421,"threshold_uncertainty_score":0.2421017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.075834202074567,"score_gpt":0.216763827386597,"score_spread":0.14092962531203,"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."}}