{"id":"W2147856103","doi":"10.21273/hortsci.39.3.512","title":"Effects of Calcium and Magnesium on Plant Growth, Biomass Partitioning, and Fruit Yield of Winter Greenhouse Tomato","year":2004,"lang":"en","type":"article","venue":"HortScience","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Lycopersicon; Dry matter; Magnesium; Chlorosis; Chemistry; Biomass (ecology); Nutrient; Horticulture; Greenhouse; Chlorophyll; Agronomy; Yield (engineering); Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007125189,0.00008059995,0.0001302725,0.00001541831,0.00007643385,0.00001857231,0.0001003404,0.00003862555,0.0000112281],"category_scores_gemma":[0.00005104707,0.0000325588,0.00002391989,0.0001423499,0.0002021969,0.00008179488,0.00004441539,0.00003552282,0.000001283462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003797596,"about_ca_system_score_gemma":0.000005111107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006516916,"about_ca_topic_score_gemma":0.0003001483,"domain_scores_codex":[0.999356,0.00001584314,0.0001239657,0.0001991666,0.0001552782,0.0001497293],"domain_scores_gemma":[0.9996305,0.0001808623,0.00006633085,0.00003220114,0.00002186554,0.00006824957],"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":[0.0000978384,0.00009855424,0.04778157,0.00009308909,0.000003288504,0.00003858912,0.0001287183,0.000003356624,0.9484216,0.0008387721,0.00005183835,0.002442782],"study_design_scores_gemma":[0.00009992633,0.0003923835,0.6399863,0.0001104257,0.000004964945,0.00002572801,0.00001881536,0.00001601097,0.3589724,0.0002217305,0.00007739448,0.00007385704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991613,0.0002124251,0.0000126003,0.0002645642,0.0000456894,0.00009841603,0.00005534622,0.00001406112,0.0001355963],"genre_scores_gemma":[0.9997865,0.00004997018,0.00003170436,0.00007409295,0.00001813733,0.000004852922,0.000002061102,4.221207e-7,0.00003229167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5922047,"threshold_uncertainty_score":0.1327709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354724494243882,"score_gpt":0.2021796630053327,"score_spread":0.1886324180628939,"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."}}