{"id":"W4304203558","doi":"10.1111/icad.12608","title":"Effects of temperature on monarch caterpillar pigment variation in nature","year":2022,"lang":"en","type":"article","venue":"Insect Conservation and Diversity","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Caterpillar; Danaus; Ecology; Monarch butterfly; Biology; Abiotic component; Variation (astronomy); Range (aeronautics); Latitude; Biotic component; Biodiversity; Aposematism; Zoology; Lepidoptera genitalia; Geography; Predation; Predator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008677669,0.00004327162,0.000067558,0.00001254674,0.0003281283,0.000006143313,0.00005139427,0.00003435825,0.00002386187],"category_scores_gemma":[0.00001871424,0.00002038405,0.00001564178,0.000144734,0.00001250349,0.00003055423,0.0001635214,0.000108308,5.268436e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002034508,"about_ca_system_score_gemma":0.000002505676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000899486,"about_ca_topic_score_gemma":0.0005072241,"domain_scores_codex":[0.9996195,0.0000553969,0.00005029877,0.00009764365,0.0001205978,0.00005655673],"domain_scores_gemma":[0.9998036,0.0001276824,0.00003085604,0.000006811169,0.00001770991,0.00001331512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002071328,0.0001151784,0.6687167,0.00001671828,0.000008668151,0.00001130753,0.0006582555,0.000006554822,0.3284766,0.0006378224,0.0006165563,0.0005285485],"study_design_scores_gemma":[0.0001630266,0.0001828076,0.9971631,0.000005834825,0.000003200705,7.202865e-7,0.0001226624,0.00002177704,0.001321713,0.0001495876,0.0008209934,0.00004454682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985416,0.000121206,2.780786e-8,0.001055248,0.00003483973,0.0001005737,0.00003395455,0.000008859914,0.0001036692],"genre_scores_gemma":[0.9992025,0.00004598189,0.000002297501,0.0006818476,0.00001204535,0.000003478426,0.0000141449,1.278853e-7,0.00003749842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3284464,"threshold_uncertainty_score":0.252373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300362160048253,"score_gpt":0.1838601892556414,"score_spread":0.1608565676551588,"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."}}