{"id":"W4234864444","doi":"10.4324/9781315766355-41","title":"Chapetr 29: Bear down: resilience and multispecies ethology","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethology; Resilience (materials science); Psychology; Ecology; Biology; Physics","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":[0.0001894972,0.0005190438,0.0002295568,0.0006960121,0.002032677,0.001970125,0.000429176,0.0009824665,0.02089802],"category_scores_gemma":[0.0002798892,0.0001615688,0.0001643294,0.000636556,0.003775336,0.001636932,0.000975786,0.001842569,0.005613671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853124,"about_ca_system_score_gemma":0.00146478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155281,"about_ca_topic_score_gemma":0.08440293,"domain_scores_codex":[0.9998957,0.00002366021,0.000002735918,0.00002373054,0.00004363728,0.00001048005],"domain_scores_gemma":[0.999936,0.00002501626,0.000003765094,0.000006447515,0.00001626262,0.00001251719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001910045,0.00002410963,0.0003046312,0.0003035318,0.000004576541,0.0002334527,0.006043012,0.0002857574,0.0005487976,0.3437535,0.5673938,0.08108563],"study_design_scores_gemma":[0.000001084449,0.000007395263,0.0004902739,0.0002303844,0.000001079421,0.0001244967,0.0004991958,0.00004902548,0.00008666828,0.01943505,0.9790713,0.000004070567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002050041,0.07146612,0.00236069,0.01077364,0.00386753,0.00004170283,0.000156141,0.0001087684,0.9091753],"genre_scores_gemma":[0.02816836,0.03274965,0.001455319,0.003328994,0.002067989,0.00004532151,0.0001304338,0.0001707691,0.9318832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02155281,"threshold_uncertainty_score":0.06991082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009778666862876897,"score_gpt":0.2236731332676987,"score_spread":0.2138944664048218,"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."}}