{"id":"W100651084","doi":"10.11575/prism/10207","title":"Representative reserve design in Canada: the contribution of existing protected areas","year":2008,"lang":"en","type":"article","venue":"Open MIND","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Parks Canada","keywords":"Set-aside; Protected area; Biodiversity; Selection (genetic algorithm); Nature reserve; Site selection; Environmental resource management; Geography; Computer science; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002569779,0.0002304964,0.0005456908,0.00153366,0.00172377,0.002503888,0.00130802,0.0003892519,0.003367123],"category_scores_gemma":[0.009557878,0.0002256157,0.0002177702,0.001817253,0.001155184,0.001270893,0.0007819788,0.0003291034,0.0001251697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01289317,"about_ca_system_score_gemma":0.01560357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6974658,"about_ca_topic_score_gemma":0.8809544,"domain_scores_codex":[0.9987405,0.0003952919,0.0000439112,0.0001741636,0.0003443983,0.0003016723],"domain_scores_gemma":[0.9975922,0.0008558708,0.0002168787,0.0001873524,0.0007821222,0.0003654738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003859469,0.0001044234,0.1097838,0.0004155195,0.0001915902,0.0002548991,0.001437339,0.2576337,0.001379284,0.1135924,0.009452491,0.5053686],"study_design_scores_gemma":[0.0001481467,0.0002234175,0.1668773,0.0003132342,0.0002307299,0.0004255774,0.003871661,0.7004655,0.001965669,0.06806462,0.05730676,0.0001073453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8036997,0.007484013,0.1224925,0.003584145,0.000135168,0.0004802248,0.001050942,0.000354926,0.06071836],"genre_scores_gemma":[0.9719728,0.0007311134,0.02246605,0.00008407599,0.00001440276,0.00004037016,0.0001930452,0.00002942402,0.004468753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025342,"threshold_uncertainty_score":0.6086318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08825595735810321,"score_gpt":0.3077952611864413,"score_spread":0.2195393038283381,"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."}}