{"id":"W4405808545","doi":"10.1016/j.foreco.2024.122488","title":"Drought resilience of coastal Douglas-fir is influenced by competition but not genetic selection","year":2024,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Western Forest Products; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Douglas fir; Resilience (materials science); Selection (genetic algorithm); Competition (biology); Ecology; Psychological resilience; Biology; Geography; Forestry; Agroforestry; Computer science; Psychology","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":[0.0005167419,0.0002415843,0.0003026166,0.0003257183,0.0004509694,0.0004033374,0.0003120399,0.0001815818,0.0008871835],"category_scores_gemma":[0.0006377226,0.0001502417,0.0001798122,0.0002651527,0.0004480082,0.0001435725,0.0003356448,0.000291564,0.00008506229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008620014,"about_ca_system_score_gemma":0.0006403374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0521791,"about_ca_topic_score_gemma":0.2109823,"domain_scores_codex":[0.9996808,0.00006232663,0.00002150913,0.0001148566,0.00005358105,0.00006704846],"domain_scores_gemma":[0.9992892,0.0001416534,0.0001611134,0.00009046457,0.00008920927,0.0002283727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001124678,0.0003434853,0.6225565,0.00004761366,0.0001939641,0.0002659717,0.0006849319,0.0006524631,0.3637749,0.0001561317,0.000217322,0.009982047],"study_design_scores_gemma":[0.000004623369,0.00006274216,0.9987979,0.000001583582,0.00001025019,0.00003309163,0.00009756047,0.0002556035,0.0006273717,0.00001367865,0.00009076498,0.000004901596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997882,0.00001354766,0.00003082083,0.00000373506,5.344354e-7,0.000001286557,0.00002209855,0.000001518228,0.0001382479],"genre_scores_gemma":[0.9996938,0.00001189663,0.00007666078,0.00001438472,5.065992e-7,0.000002724372,0.00005904512,0.000001739663,0.000139288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0521791,"threshold_uncertainty_score":0.1037508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002479722819202706,"score_gpt":0.1852266407138254,"score_spread":0.1827469178946227,"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."}}