{"id":"W2988726880","doi":"10.3390/f10111041","title":"Selection of Poplar Genotypes for Adapting to Climate Change","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta-Pacific Forest Industries","keywords":"Biology; Water-use efficiency; Transpiration; Hybrid; Stomatal conductance; Tree breeding; Agronomy; Botany; Horticulture; Ecology; Agroforestry; Woody plant; Photosynthesis; Irrigation","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":[0.0002863832,0.0002069218,0.0001735599,0.0002825557,0.0002077462,0.000322156,0.0002195827,0.0001435621,0.0005920908],"category_scores_gemma":[0.0001856381,0.0001188481,0.0001342155,0.0001956536,0.0001529712,0.0001164871,0.000272442,0.0002726366,0.0001503505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011033,"about_ca_system_score_gemma":0.0002399796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001527433,"about_ca_topic_score_gemma":0.007422957,"domain_scores_codex":[0.999862,0.00002363995,0.000008595045,0.00004467255,0.00003620071,0.00002493181],"domain_scores_gemma":[0.9997818,0.00005383622,0.00004817672,0.00002757248,0.00003074744,0.00005792022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002309503,0.0001189945,0.0740554,0.00002062979,0.0000478231,0.0002048554,0.0002030342,0.000253977,0.9163138,0.0000860412,0.00003713982,0.008427412],"study_design_scores_gemma":[0.00003779999,0.0007443523,0.9554663,0.000006530677,0.00007689659,0.0005405908,0.0003596294,0.001275114,0.04000597,0.00006221761,0.001407627,0.00001705301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996995,0.0000135761,0.0001513749,0.000002700684,7.143281e-7,0.000003587631,0.0000174249,0.000005230646,0.0001059482],"genre_scores_gemma":[0.9979295,0.0000514416,0.001146159,0.00001329408,0.000002208555,0.00001122094,0.0002626697,0.00001022021,0.0005732708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001527433,"threshold_uncertainty_score":0.003037095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905803431200443,"score_gpt":0.2337723126558321,"score_spread":0.2047142783438277,"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."}}