{"id":"W2727189471","doi":"10.1093/aobpla/plx030","title":"Patterns of Arabidopsis gene expression in the face of hypobaric stress","year":2017,"lang":"en","type":"article","venue":"AoB Plants","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Abiotic component; Altitude (triangle); Effects of high altitude on humans; Adaptation (eye); Biome; Ecology; Hypoxia (environmental); Abiotic stress; Photosynthesis; Terrestrial plant; Drought stress; Gene; Botany; Oxygen; Ecosystem; Chemistry; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006812059,0.0001737468,0.0002451641,0.0004139683,0.0002308005,0.0004250497,0.0001779169,0.0003239942,0.0009827839],"category_scores_gemma":[0.0001086091,0.0001775542,0.0002419621,0.0004413859,0.0002765059,0.0002830852,0.0002651512,0.0009230821,0.000303521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004341106,"about_ca_system_score_gemma":0.0002048896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619189,"about_ca_topic_score_gemma":0.00193195,"domain_scores_codex":[0.9998745,0.000006235439,0.000004792284,0.00005715615,0.00002421549,0.00003310709],"domain_scores_gemma":[0.9998174,0.00002899833,0.00005047208,0.00001354513,0.00003141615,0.00005815398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001164859,0.000009856494,0.001989697,0.00003107584,0.000006650666,0.00006158352,0.0001167772,0.00004314556,0.9963048,0.00006805659,0.0000623626,0.001189493],"study_design_scores_gemma":[0.00002270726,0.0003323729,0.7456007,0.00002726457,0.00005281213,0.0004631754,0.001071595,0.001281087,0.2468808,0.0004549742,0.003765735,0.00004672546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930334,0.001108168,0.001258107,0.0001725483,0.00002413991,0.00001542834,0.002429697,0.00009805163,0.001860486],"genre_scores_gemma":[0.9914451,0.000656144,0.001015879,0.000278631,0.00001821498,0.00005451093,0.003252151,0.00004016709,0.003239259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619189,"threshold_uncertainty_score":0.003287792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302947473248732,"score_gpt":0.2388614166943685,"score_spread":0.2058319419618812,"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."}}