{"id":"W2168359618","doi":"10.1111/nph.12540","title":"Adaptation and exogenous selection in a<i><scp>P</scp>icea glauca</i>×<i><scp>P</scp>icea engelmannii</i>hybrid zone: implications for forest management under climate change","year":2013,"lang":"en","type":"article","venue":"New Phytologist","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Forests, Lands and Natural Resource Operations; Genome British Columbia","keywords":"Biology; Introgression; Picea engelmannii; Hybrid; Local adaptation; Hardiness (plants); Selection (genetic algorithm); Ecology; Botany; Genetics; Gene; Population; Cultivar; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002474065,0.0003530254,0.0003061714,0.0001167498,0.0004066165,0.0001607222,0.0003087776,0.0001557273,0.0003857174],"category_scores_gemma":[0.00009788049,0.0003615147,0.0001002521,0.0004606574,0.0002314548,0.0005857745,0.0002389612,0.0001834368,0.0006088409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006674847,"about_ca_system_score_gemma":0.00001456924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675685,"about_ca_topic_score_gemma":0.008266538,"domain_scores_codex":[0.997606,0.00006273011,0.0004328357,0.0007526112,0.000252106,0.0008937664],"domain_scores_gemma":[0.9988091,0.0003173446,0.0002492189,0.0003253047,0.00004498366,0.0002540226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005748942,0.001793485,0.5678662,0.0005541677,0.0001919478,0.0000215501,0.004376507,0.00207066,0.01964409,0.04263132,0.2934793,0.06731331],"study_design_scores_gemma":[0.001241207,0.0001966009,0.9041054,0.00002103076,0.00005894486,0.00003484307,0.00583208,0.001390548,0.000384513,0.002185237,0.08440256,0.000147014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718751,0.0007832501,0.007539485,0.001917664,0.0002812563,0.002684741,0.0002294119,0.0002463987,0.01444275],"genre_scores_gemma":[0.9918091,0.002069282,0.001225129,0.001364016,0.0001686239,0.001645964,0.0003957494,0.0000481245,0.001274018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3362392,"threshold_uncertainty_score":0.9998837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719685590306731,"score_gpt":0.2605530145060229,"score_spread":0.2133561586029556,"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."}}