{"id":"W2010746781","doi":"10.5558/tfc82383-3","title":"Monitoring ecological representation in currently non-harvestable areas: Four British Columbia case studies","year":2006,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Alberta; University of British Columbia","funders":"","keywords":"Biodiversity; Ecosystem; Habitat; Representation (politics); Geography; Ecology; Environmental resource management; Ecosystem services; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002044036,0.0003070588,0.0002559835,0.002259169,0.001839989,0.001289571,0.001126637,0.0005206058,0.0008467251],"category_scores_gemma":[0.007290396,0.0002346805,0.0001730227,0.005029676,0.001212516,0.0005952499,0.001365425,0.0005468435,0.00006807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01225637,"about_ca_system_score_gemma":0.003953358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8483103,"about_ca_topic_score_gemma":0.9564022,"domain_scores_codex":[0.9986425,0.0004666095,0.00009363982,0.0001519698,0.0003664686,0.0002788119],"domain_scores_gemma":[0.9937268,0.002284965,0.0009763477,0.0005801137,0.001961552,0.0004700752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001745856,0.0002017294,0.9549966,0.00009825609,0.00008637108,0.001570695,0.007115744,0.004854545,0.001132767,0.0004287798,0.0007479439,0.02859204],"study_design_scores_gemma":[0.00002757817,0.0001522225,0.9792812,0.00005281041,0.0000632287,0.000517287,0.011256,0.004749867,0.0009775067,0.0002133493,0.002676076,0.00003296928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981934,0.00008731407,0.0001943268,0.00004573833,7.682576e-7,0.00005655778,0.0002082756,0.000004245885,0.001209415],"genre_scores_gemma":[0.9979519,0.0001060612,0.0008465549,0.00002073832,9.715477e-7,0.00005814676,0.0002875166,0.000002637995,0.0007254346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516897,"threshold_uncertainty_score":0.3051661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266176261553779,"score_gpt":0.2849196304869803,"score_spread":0.2583020043316024,"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."}}