{"id":"W2139052232","doi":"10.1093/jxb/erh170","title":"Maintaining exponential growth, solution conductivity, and solution pH in low-ionic-strength solution culture using a computer-controlled nutrient delivery system","year":2004,"lang":"en","type":"article","venue":"Journal of Experimental Botany","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ionic strength; Exponential growth; Nutrient; Conductivity; Exponential function; Ionic conductivity; Chemistry; Chemical engineering; Biological system; Aqueous solution; Biology; Mathematics; Mathematical analysis; Physical chemistry; Engineering; Organic chemistry; Electrolyte","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":[0.0004033463,0.0002713935,0.0004576746,0.0001276808,0.0002697541,0.00008396598,0.0001342178,0.0001257737,0.00003004649],"category_scores_gemma":[0.00000708797,0.0002281631,0.0001990572,0.0001660231,0.0001495125,0.000879964,0.000183858,0.0002200483,0.00001015026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290104,"about_ca_system_score_gemma":0.00003845978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004138713,"about_ca_topic_score_gemma":0.00003389699,"domain_scores_codex":[0.9980163,0.0001602357,0.0006393996,0.0002986366,0.000482653,0.0004027842],"domain_scores_gemma":[0.9992278,0.00001871452,0.000456552,0.0001041528,0.0000287498,0.0001640783],"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":[0.0009866928,0.000678414,0.001104371,0.000007598235,0.00007190896,0.00019696,0.001312383,0.0005364824,0.9947435,0.0001835886,0.00002064152,0.0001574087],"study_design_scores_gemma":[0.03592942,0.001847953,0.00215249,0.0009122574,0.0002148007,0.003281414,0.004261475,0.04342026,0.9069372,0.0003461548,0.00001675569,0.0006798338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913267,0.001602011,0.00606249,0.00006074609,0.0004890816,0.0003760464,0.000003435067,0.00002119115,0.00005828463],"genre_scores_gemma":[0.9849153,0.00004451208,0.01472502,0.00001985506,0.0002578874,0.000007574306,0.000003122559,0.00001723139,0.000009509355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08780635,"threshold_uncertainty_score":0.9304223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236461579445814,"score_gpt":0.2281399809749231,"score_spread":0.2157753651804649,"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."}}