{"id":"W7098158608","doi":"","title":"___________________________________________________________________________________ GEOGRAPHIC CLINES IN GENETIC VARIATION","year":2013,"lang":"en","type":"article","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stocking; Genetic variation; Precipitation; Cline (biology); Spatial variability; Climate change; Variation (astronomy); Spatial distribution; Spatial ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008241833,0.0002516989,0.0002029407,0.0004862276,0.0002921431,0.00088598,0.0002486311,0.0002248059,0.005306655],"category_scores_gemma":[0.002225166,0.0001351218,0.0004238369,0.0006765682,0.000310185,0.000574675,0.0003017578,0.0003803912,0.0007422871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003446,"about_ca_system_score_gemma":0.0006588735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418303,"about_ca_topic_score_gemma":0.04461041,"domain_scores_codex":[0.9998418,0.00006741822,0.00000879965,0.00002529155,0.00004057061,0.00001611383],"domain_scores_gemma":[0.9991931,0.0004346277,0.0001227313,0.00008208671,0.0001170741,0.00005037576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003747019,0.0001618167,0.4622838,0.0001451606,0.0001011836,0.0002851397,0.0008944575,0.2350515,0.009605322,0.02191147,0.005600188,0.2635852],"study_design_scores_gemma":[0.00003864867,0.0004239121,0.5481076,0.0001143746,0.00008563697,0.0009243124,0.001415526,0.3737743,0.005605209,0.03307112,0.03626268,0.0001767407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5685547,0.0004554422,0.4039154,0.0007720033,0.00008393129,0.00008846238,0.002067561,0.001469017,0.02259344],"genre_scores_gemma":[0.8951128,0.0003886431,0.09765927,0.00002707713,0.00002145645,0.0000420357,0.0007183167,0.0001422294,0.005888281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01418303,"threshold_uncertainty_score":0.02820098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497266117633725,"score_gpt":0.2206317944513044,"score_spread":0.2056591332749672,"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."}}