{"id":"W3134408901","doi":"10.20944/preprints202103.0223.v1","title":"Gas Exchange, Water Use Efficiency, and Biomass Partitioning Among Geographic Sources of <em>Acer saccharum</em> subsp. <em>saccharum</em> and subsp. <em>nigrum</em> seedlings in Response to Water Stress","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sugar; Maple; Biomass partitioning; Saccharum; Water-use efficiency; Evapotranspiration; Saccharum officinarum; Transpiration; Seedling; Aceraceae; Horticulture; Environmental science; Agronomy; Botany; Stomatal conductance; Biology; Shoot; Photosynthesis; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006671958,0.0002071475,0.0001639017,0.0002928578,0.0002559422,0.0002578026,0.0001478208,0.0000998066,0.0007211675],"category_scores_gemma":[0.00009920701,0.0001500439,0.0001127091,0.0002322872,0.0001669433,0.0001677241,0.0002242429,0.0002103784,0.000116555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896933,"about_ca_system_score_gemma":0.0003390717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04738817,"about_ca_topic_score_gemma":0.1458087,"domain_scores_codex":[0.9999417,0.00000397765,0.000003254312,0.00002317645,0.00001356323,0.0000142725],"domain_scores_gemma":[0.9998191,0.00002253218,0.00004222331,0.0000118561,0.00003294959,0.00007142788],"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":[0.0005263023,0.00004549805,0.05721686,0.00001593535,0.00002620559,0.00008923985,0.0002210216,0.00006981189,0.9402356,0.00003655299,0.00004269908,0.001474225],"study_design_scores_gemma":[0.000009891889,0.0001549076,0.9807283,0.000001729866,0.00001875816,0.0000568079,0.000202423,0.0002553099,0.0182243,0.00001582601,0.0003254495,0.000006331908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999723,0.00001475221,0.00003440542,0.000002095579,3.708048e-7,0.000001870132,0.000107646,0.000001431953,0.0001144414],"genre_scores_gemma":[0.9976872,0.00003812411,0.0002102784,0.00001046502,7.015649e-7,0.0000121872,0.001123869,0.000005162004,0.000912025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04738817,"threshold_uncertainty_score":0.09422469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459333192672658,"score_gpt":0.2603187450733953,"score_spread":0.2257254131466687,"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."}}