{"id":"W2803366165","doi":"10.3389/fpls.2018.00756","title":"Effects of Light Quality and Intensity on Diurnal Patterns and Rates of Photo-Assimilate Translocation and Transpiration in Tomato Leaves","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Light effects on plants","field":"Agricultural and Biological Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"National Institute of Food and Agriculture; Ontario Ministry of Agriculture, Food and Rural Affairs; U.S. Department of Agriculture; Government of Ontario; Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs","keywords":"Photosynthesis; Transpiration; Orange (colour); Stomatal conductance; Light-emitting diode; Light intensity; Botany; Horticulture; Chemistry; Biology; Optics; Materials science; Optoelectronics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006171628,0.00008104596,0.0002010629,0.00005860599,0.00006319168,0.00002113618,0.00009543931,0.00004603374,0.000001190859],"category_scores_gemma":[0.00005876269,0.00003610702,0.000009303274,0.0002487727,0.0003382087,0.0002151301,0.00001540816,0.00005769557,8.913301e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001137939,"about_ca_system_score_gemma":0.000007169838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003090829,"about_ca_topic_score_gemma":0.0006566906,"domain_scores_codex":[0.9991771,0.00007154484,0.0002042048,0.000239031,0.0001701418,0.0001379721],"domain_scores_gemma":[0.9996709,0.0001356305,0.0000853243,0.00002823836,0.00003115443,0.00004872349],"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":[0.0001192694,0.00003639053,0.4450297,0.00005466867,0.000001614684,0.000001830076,0.0006678333,3.744762e-7,0.5458319,0.000017257,0.00001022745,0.008228917],"study_design_scores_gemma":[0.0001490418,0.0001940885,0.6009573,0.0001383389,0.00000172514,0.000002278317,0.00008051865,0.0004417453,0.3978799,0.0001069763,0.000002340395,0.00004578843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992894,0.0001025579,0.00004313912,0.0001818566,0.000117365,0.0001994734,0.00004008058,0.00000501464,0.00002113097],"genre_scores_gemma":[0.9996601,0.0001480837,0.0001189985,0.00005431462,0.00001104123,0.000002789283,0.000002999187,3.523783e-7,0.000001355963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559275,"threshold_uncertainty_score":0.1472402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161959400515723,"score_gpt":0.241553180138988,"score_spread":0.2253572400874157,"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."}}