{"id":"W2913675559","doi":"10.1111/eva.12773","title":"Linking genotype to phenotype to identify genetic variation relating to host susceptibility in the mountain pine beetle system","year":2019,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Candidate gene; Mountain pine beetle; Population; Pinus contorta; Genetics; Genetic variation; Population genetics; Allele; Phenotype; Evolutionary biology; Ecology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002594022,0.000188706,0.0001779919,0.0007465183,0.0003778397,0.0003810875,0.000177026,0.0001546927,0.001009446],"category_scores_gemma":[0.0002888063,0.00008825031,0.0001403872,0.0004373823,0.0002715191,0.00008701838,0.0002041915,0.0002601073,0.0000746364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244721,"about_ca_system_score_gemma":0.0004411833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03126236,"about_ca_topic_score_gemma":0.07948229,"domain_scores_codex":[0.9998498,0.00002900126,0.00000720439,0.00005141614,0.00003588357,0.0000267489],"domain_scores_gemma":[0.9996814,0.00006724484,0.00009123283,0.00002540253,0.00006332823,0.00007143908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002509537,0.00008154869,0.5328825,0.00005792796,0.0001644458,0.0003473255,0.000538793,0.0005534593,0.4558878,0.0002355768,0.0001126857,0.008886973],"study_design_scores_gemma":[0.000002640842,0.0000572049,0.9973194,0.000002525188,0.00001756164,0.0001229667,0.0001736412,0.0002806876,0.001778585,0.0000396277,0.0002009275,0.000004146633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990657,0.0000565855,0.0004423454,0.00000846496,8.074992e-7,0.000004954407,0.0001288379,0.000008492809,0.0002837655],"genre_scores_gemma":[0.9988585,0.00003430603,0.0006548464,0.00001536694,0.000001218514,0.000004575097,0.0001823695,0.000003852057,0.0002450411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03126236,"threshold_uncertainty_score":0.06216079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007617490095608877,"score_gpt":0.2426737053747542,"score_spread":0.2350562152791453,"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."}}