{"id":"W4383710449","doi":"10.1111/gcb.16855","title":"Picturing local adaptation: Spectral and structural traits from drone remote sensing reveal clinal responses to climate transfer in common‐garden trials of interior spruce (<i>Picea engelmannii</i> × <i>glauca</i>)","year":2023,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Local adaptation; Picea engelmannii; Vegetation (pathology); Principal component analysis; Biology; Environmental science; Climate change; Ecology; Tree breeding; Adaptation (eye); Atmospheric sciences; Woody plant; Mathematics; Statistics; Pinus contorta; Geology","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":[0.0005435541,0.0002397189,0.0002724031,0.0004622047,0.0003867591,0.0004434414,0.0003089368,0.000156191,0.0004283056],"category_scores_gemma":[0.0006208112,0.0001150704,0.0002343089,0.0003638526,0.0004446566,0.0001476767,0.0003344281,0.0002639302,0.00006926026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007924006,"about_ca_system_score_gemma":0.0003047539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06096179,"about_ca_topic_score_gemma":0.2053845,"domain_scores_codex":[0.9997429,0.00006124304,0.00001424605,0.00008461466,0.00005967402,0.00003715931],"domain_scores_gemma":[0.9993488,0.0001664934,0.0001430458,0.00008475346,0.0001231642,0.0001336714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007854766,0.0002602545,0.76781,0.0000354283,0.000131643,0.0001156872,0.00101033,0.002617816,0.2136363,0.0000788031,0.0001510624,0.01336726],"study_design_scores_gemma":[0.000003968775,0.00008228375,0.9966008,0.000001363715,0.00001107386,0.00002249086,0.0001435227,0.001000919,0.002052025,0.000008341761,0.00006903165,0.000004234423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996728,0.000006819746,0.0001665029,0.000001141983,3.119389e-7,0.000004387792,0.00007336163,0.000005680732,0.00006902916],"genre_scores_gemma":[0.9991226,0.00000568119,0.0005033449,0.000004168035,3.729006e-7,0.000007568585,0.0002686775,0.000005755285,0.000081796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06096179,"threshold_uncertainty_score":0.1212139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05306179150643291,"score_gpt":0.3055678060393037,"score_spread":0.2525060145328708,"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."}}