{"id":"W4394861819","doi":"10.5376/ijmec.2024.14.0003","title":"Human Genetic Response to Environmental Change: Biological Adaptation to Global Climate Change","year":2024,"lang":"en","type":"article","venue":"International Journal of Molecular Ecology and Conservation","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Environmental change; Adaptation (eye); Climate change adaptation; Environmental resource management; Environmental science; Geography; Ecology; Biology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009401243,0.0002483925,0.0003321809,0.0006301035,0.0004583666,0.001146574,0.0002271196,0.0007062212,0.001146631],"category_scores_gemma":[0.001655471,0.0001194333,0.0004062058,0.001469877,0.0008636263,0.000686264,0.0008137794,0.0007516014,0.0001350832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355349,"about_ca_system_score_gemma":0.000684515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334566,"about_ca_topic_score_gemma":0.003734426,"domain_scores_codex":[0.9996297,0.000168236,0.00001869724,0.00009207578,0.00005460067,0.00003669458],"domain_scores_gemma":[0.9996108,0.0001464383,0.0001047602,0.00005142013,0.00004955629,0.00003695806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003169392,0.0001490822,0.6002644,0.001281392,0.0009485177,0.001240521,0.003180892,0.005423476,0.04017244,0.04178276,0.004329962,0.3009096],"study_design_scores_gemma":[0.00001311745,0.0002321917,0.8896691,0.0003304998,0.0003620134,0.001905571,0.002034618,0.002911566,0.004266277,0.05545158,0.04274601,0.00007753823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8414111,0.06301156,0.04508321,0.02781389,0.0008994011,0.0001104098,0.001412136,0.0001577721,0.02010047],"genre_scores_gemma":[0.9733108,0.01326855,0.008751292,0.002312554,0.0002900953,0.00004217388,0.0002418229,0.00001433387,0.001768389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002334566,"threshold_uncertainty_score":0.004971921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248156338484448,"score_gpt":0.2942206157824536,"score_spread":0.2694049819340087,"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."}}