{"id":"W4234795720","doi":"10.22541/au.160435617.76868505/v1","title":"Poleward Bound: Adapting to climate-driven species redistribution","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Climate change; Environmental resource management; Redistribution (election); Ecosystem; Business; Futures contract; Indigenous; Natural resource economics; Environmental planning; Ecology; Geography; Environmental science; Economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001577707,0.0002332256,0.0003381578,0.00001032981,0.0002745851,0.0001577358,0.000411358,0.0003245059,0.003203234],"category_scores_gemma":[0.00007084055,0.00009259335,0.0001530436,0.000152411,0.00004353628,0.00005369349,0.001151323,0.000359208,0.0008977433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008208402,"about_ca_system_score_gemma":0.00002096394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003332827,"about_ca_topic_score_gemma":0.003223467,"domain_scores_codex":[0.9984564,0.00007075394,0.0003054325,0.0005566624,0.0001399357,0.0004707714],"domain_scores_gemma":[0.9994812,0.00006637516,0.0001243889,0.00007166942,0.00006620439,0.0001901769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005809501,0.0004464346,0.04747964,0.0003257504,0.0003125422,0.0001590226,0.0008985425,0.0007685655,0.4229109,0.09151579,0.3618111,0.07279079],"study_design_scores_gemma":[0.000297619,0.001392618,0.191287,0.000195318,0.0001111232,0.00002006017,0.004290366,0.005507827,0.01608018,0.006095654,0.7724769,0.002245318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152342,0.00002969153,0.0001664387,0.02987337,0.001175407,0.0006584093,0.0005870762,0.0004044018,0.05187102],"genre_scores_gemma":[0.9951998,0.00002907758,0.0005100445,0.001980152,0.001140848,0.00004620968,0.0008297754,9.726318e-7,0.0002631472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4106658,"threshold_uncertainty_score":0.9998802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05514130555438655,"score_gpt":0.2306856970465535,"score_spread":0.175544391492167,"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."}}