{"id":"W2492015484","doi":"10.1017/cbo9781139627078.011","title":"Behavior-based contributions to reserve design and management","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geography; Nature reserve; Habitat; Categorization; Environmental resource management; Natural (archaeology); Ecology; Umbrella species; Conceptual model; Environmental planning; Computer science; Environmental science; Biology; Endangered species; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007074175,0.0007211561,0.0002592341,0.0009234459,0.000640744,0.002912466,0.001136591,0.001192157,0.01316184],"category_scores_gemma":[0.0008958913,0.0003365331,0.0003200046,0.0008288713,0.004063326,0.002025326,0.001125603,0.002024284,0.003504904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002496006,"about_ca_system_score_gemma":0.001586905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004330764,"about_ca_topic_score_gemma":0.006627704,"domain_scores_codex":[0.9996372,0.0001073371,0.00001510361,0.00008220422,0.0001274437,0.00003064818],"domain_scores_gemma":[0.9996289,0.0001791459,0.00002688525,0.00004224322,0.00006243477,0.00006029461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001777554,0.0000812248,0.0005641368,0.0003672004,0.00001045815,0.00006373756,0.001567719,0.003619321,0.0006050816,0.6270442,0.04074137,0.3253178],"study_design_scores_gemma":[0.000005492096,0.00002653785,0.001474327,0.0004488631,0.000008139535,0.0001397511,0.0003227075,0.001894754,0.0003643327,0.1772773,0.8180193,0.00001851727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003982507,0.03655775,0.04731518,0.01119859,0.001755754,0.00004978134,0.00007526075,0.0002219183,0.8988433],"genre_scores_gemma":[0.1360024,0.07332416,0.05403601,0.004625214,0.002322879,0.0002115385,0.0002055772,0.0003155873,0.7289566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01316184,"threshold_uncertainty_score":0.04403073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097675326325075,"score_gpt":0.2088542828167839,"score_spread":0.1878775295535332,"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."}}