{"id":"W1825939435","doi":"10.1111/j.1755-263x.2010.00109.x","title":"Making conservation physiology relevant to policy makers and conservation practitioners","year":2010,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Toolbox; Process (computing); Conservation biology; Conservation science; Biology; Ecology; Environmental resource management; Computer science; Biodiversity","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":[],"category_scores_codex":[0.0002713955,0.0001725713,0.0001452108,0.0001325675,0.000266884,0.00008556712,0.0001302408,0.0001037482,0.005296121],"category_scores_gemma":[0.0005175304,0.0001848031,0.00003722627,0.0006164372,0.0003159697,0.0004330267,0.0001059442,0.0001987612,0.0007080647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742865,"about_ca_system_score_gemma":0.00003054187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135929,"about_ca_topic_score_gemma":0.001391969,"domain_scores_codex":[0.9987237,0.00006814636,0.0002884671,0.0003855597,0.0002355172,0.000298547],"domain_scores_gemma":[0.9992433,0.0001495786,0.0001850271,0.0002581986,0.00004369481,0.0001201928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005114598,0.00002595166,0.06577689,0.00001074474,0.000008596121,0.00000229793,0.0002784227,0.00001858234,0.7836482,0.009203382,0.1404999,0.0004758885],"study_design_scores_gemma":[0.0004155646,0.00002391996,0.6829818,0.00001036692,0.0000108942,0.00001929993,0.0003751919,0.0005254289,0.001745528,0.0002201182,0.313444,0.0002278981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.738694,0.000001991704,0.0005719998,0.2583134,0.0002372181,0.00027997,0.00002580385,0.00008151684,0.001794076],"genre_scores_gemma":[0.8204311,0.00001254389,0.001633329,0.1773286,0.00009737529,0.00007588564,0.0001835316,0.00001875839,0.0002188814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7819027,"threshold_uncertainty_score":0.9956132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498236525709505,"score_gpt":0.2872699886412131,"score_spread":0.252287623384118,"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."}}