{"id":"W4413603525","doi":"10.64628/aap.d6d6psn9r","title":"Climate change is making trees bigger, but also weaker","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Climate change; Economics; Geography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001722663,0.0004381294,0.0005503254,0.0001782836,0.00009348489,0.00009114904,0.0002651074,0.0002954838,0.0002203641],"category_scores_gemma":[0.00002202076,0.0004016232,0.000254179,0.0001394346,0.00003953757,0.00006565598,0.0009285703,0.000447711,0.0005965346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000847741,"about_ca_system_score_gemma":0.000006825666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001631811,"about_ca_topic_score_gemma":0.01407707,"domain_scores_codex":[0.9983373,0.00001748277,0.0003707864,0.000477606,0.0002325285,0.0005642761],"domain_scores_gemma":[0.9991601,0.0000832313,0.00004257801,0.0006160868,0.00004194992,0.00005607486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008008956,0.0002636729,0.3502891,0.01586776,0.003778874,0.0002946532,0.03427091,0.009327746,0.0005484685,0.003188783,0.2082878,0.3738022],"study_design_scores_gemma":[0.0007822172,0.00006176322,0.8573639,0.002107257,0.0003875069,0.000006794495,0.00217198,0.04865536,0.001313731,0.005157143,0.07849724,0.003495118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7537284,0.03142164,0.004074437,0.0111463,0.02529767,0.00388483,0.003010251,0.02759392,0.1398426],"genre_scores_gemma":[0.9930066,0.0029537,0.0006260623,0.00009480038,0.0008230523,0.0004060396,0.00003908031,0.000162444,0.001888259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5070748,"threshold_uncertainty_score":0.9998435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060048720886448,"score_gpt":0.2950100509667541,"score_spread":0.1890051788781092,"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."}}