{"id":"W6960913974","doi":"10.1371/journal.pone.0067248.g004","title":"Large-scale genetic structure among sampling locations.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance sampling; Pairwise comparison; Sampling (signal processing); Taiga; Genetic distance; Geographical distance; Boreal; Regression","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":[0.0009149715,0.0001820537,0.0002975877,0.001224937,0.0005529351,0.0005775509,0.0004391219,0.0001728591,0.006354417],"category_scores_gemma":[0.001949738,0.0001194801,0.0002461671,0.003792533,0.0002908339,0.0002419402,0.0004312852,0.0003438824,0.001085771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008599456,"about_ca_system_score_gemma":0.001028454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1032825,"about_ca_topic_score_gemma":0.2882008,"domain_scores_codex":[0.9993987,0.00009650266,0.00002314545,0.000310522,0.0001122142,0.00005891578],"domain_scores_gemma":[0.9988223,0.0003677225,0.0002053335,0.0002411224,0.0002567758,0.0001067661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004737388,0.000123038,0.7671724,0.0002846202,0.0005961399,0.0006327952,0.002407752,0.004145493,0.01939183,0.00660345,0.02479045,0.1733783],"study_design_scores_gemma":[0.00002085529,0.0000226254,0.9825283,0.00003875107,0.00007896093,0.000126946,0.0004033216,0.002030696,0.0005830612,0.0007503753,0.01340086,0.00001531619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8936749,0.0006224978,0.01884114,0.0002108049,0.00008371696,0.0001764517,0.05069773,0.0005222688,0.03517035],"genre_scores_gemma":[0.9696585,0.0001035631,0.008564149,0.00004082412,0.000008767065,0.00004630657,0.01669624,0.00008482939,0.004796709],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1032825,"threshold_uncertainty_score":0.2053626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191408290371968,"score_gpt":0.2164939526621435,"score_spread":0.1845798697584238,"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."}}