{"id":"W6983179542","doi":"","title":"Linking organismal physiology and the landscape to predict vulnerability to climate change","year":2023,"lang":"en","type":"article","venue":"Digital Collections of Colorado (Colorado State University)","topic":"Medieval European History and Architecture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; California Department of Fish and Wildlife; Society for the Study of Evolution; Joint Fire Science Program; Oregon State University; Colorado State University; University of Montana; National Science Foundation","keywords":"Ectotherm; Climate change; Evolvability; Vulnerability (computing); Environmental change; Psychological resilience; Population; Variation (astronomy)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002191542,0.0001677601,0.0002878835,0.000620102,0.00119831,0.0001399462,0.000269578,0.00003441206,0.0001604718],"category_scores_gemma":[0.000102224,0.0001371003,0.00008580329,0.001002837,0.0004680814,0.0002723495,0.0003405481,0.0001799021,0.00008777979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005168233,"about_ca_system_score_gemma":0.00004455921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002598641,"about_ca_topic_score_gemma":0.0004616303,"domain_scores_codex":[0.9988974,0.0001397983,0.0001897067,0.0003136128,0.0001456958,0.0003138169],"domain_scores_gemma":[0.9991143,0.000277425,0.00008244755,0.0002203921,0.000153331,0.0001520954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02215527,0.001042439,0.003661709,0.001035957,0.0007680849,0.0003615394,0.5340715,0.006056613,0.001305706,0.3512233,0.05694239,0.02137547],"study_design_scores_gemma":[0.002189765,0.001689954,0.002814307,0.00007592899,0.00007999671,0.000007325787,0.01044256,0.0004918769,0.00007341587,0.001557809,0.9801544,0.0004226606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341809,0.0000114502,0.00004137402,0.001090379,0.0004620926,0.0009057943,0.0006127633,0.000229758,0.06246551],"genre_scores_gemma":[0.9857448,0.00003742904,0.00001775927,0.0002510441,0.0001565874,0.00001033822,0.00002744221,0.00002058817,0.01373401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.923212,"threshold_uncertainty_score":0.9216553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279041961514041,"score_gpt":0.1941250636045653,"score_spread":0.1713346439894249,"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."}}