{"id":"W2133873177","doi":"10.1007/s10531-005-5819-5","title":"Conservation Targets for Viable Species Assemblages in Canada: Are Percentage Targets Appropriate?","year":2006,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Parks Canada","keywords":"Set-aside; National park; Biodiversity; Persistence (discontinuity); Selection (genetic algorithm); Nature reserve; Ecology; Representation (politics); Geography; Biology; Biodiversity conservation; Environmental resource management; Computer science; Economics","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":[0.006489699,0.0003954892,0.000684611,0.001705607,0.002344539,0.002204611,0.001782719,0.001104404,0.002840671],"category_scores_gemma":[0.0359451,0.0003001292,0.0002737663,0.00294558,0.001448262,0.002574633,0.001012627,0.001293244,0.0003842412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0145391,"about_ca_system_score_gemma":0.01819396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8243818,"about_ca_topic_score_gemma":0.9291255,"domain_scores_codex":[0.9930013,0.001483149,0.0003151141,0.0003583517,0.003896782,0.0009452841],"domain_scores_gemma":[0.9845979,0.0034518,0.002213484,0.0004865342,0.008186107,0.00106412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001092212,0.000259107,0.3014038,0.001301814,0.0003604041,0.0002755868,0.00599626,0.02626396,0.004449976,0.07034372,0.07939635,0.5088568],"study_design_scores_gemma":[0.00009104586,0.0003688332,0.894238,0.0009885174,0.0002431544,0.0003545212,0.00684255,0.01753752,0.002958525,0.03025233,0.04600922,0.0001158611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7278735,0.01415316,0.03851226,0.05363591,0.001350157,0.000461629,0.0115024,0.0006899359,0.151821],"genre_scores_gemma":[0.9878203,0.00111404,0.005740982,0.001409983,0.00006073909,0.0001065161,0.0005345256,0.000050438,0.003162389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756182,"threshold_uncertainty_score":0.3533048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220938057128155,"score_gpt":0.1711299513704228,"score_spread":0.1589205707991412,"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."}}