{"id":"W2146368207","doi":"","title":"State-of-the-Wilderness Reporting in Ontario: Models, Tools and Techniques","year":2000,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wilderness; Wilderness area; Geography; Harmony (color); Population; Environmental planning; Political science; Sociology; Ecology","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":[0.005676832,0.0005249968,0.0003755651,0.003399592,0.001681403,0.003707288,0.002473001,0.0007756071,0.009637898],"category_scores_gemma":[0.01662333,0.0005038669,0.001199959,0.009333721,0.001354683,0.002378334,0.001588799,0.0007403899,0.001310079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0306489,"about_ca_system_score_gemma":0.01967028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9651698,"about_ca_topic_score_gemma":0.964172,"domain_scores_codex":[0.9984128,0.0006001117,0.00008413172,0.000240815,0.0003886783,0.0002733443],"domain_scores_gemma":[0.989082,0.005890729,0.001169077,0.0005243919,0.002928596,0.0004052361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003576096,0.0004955696,0.6488135,0.0008463531,0.0003513635,0.0005096727,0.0102957,0.06036039,0.0002695419,0.1162862,0.06327298,0.09814116],"study_design_scores_gemma":[0.0001417363,0.0002658613,0.3692524,0.0007441608,0.0006536632,0.000306501,0.02911129,0.4183118,0.0005739811,0.02784895,0.1525268,0.0002629048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6400081,0.004223302,0.06692298,0.01012076,0.0003095595,0.00271464,0.08542065,0.001149491,0.1891306],"genre_scores_gemma":[0.9065925,0.003461859,0.03376607,0.0002516418,0.00005886079,0.001228026,0.02301591,0.0001463235,0.03147877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03483021,"threshold_uncertainty_score":0.2223744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373955060263715,"score_gpt":0.2172643286609569,"score_spread":0.07986882263458539,"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."}}