{"id":"W2003784177","doi":"10.4319/lom.2007.5.88","title":"On the determination of mass transfer in a concentration boundary layer","year":2007,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Boundary layer; Logarithm; Sink (geography); Tangent; Nonlinear regression; Hyperbolic function; Flux (metallurgy); Logarithmic scale; Nonlinear system; Analytical Chemistry (journal); Physics; Mathematics; Chemistry; Thermodynamics; Mathematical analysis; Geometry; Statistics; Chromatography; Regression analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000586243,0.0006188207,0.0003546234,0.0004784972,0.0002272108,0.0007254729,0.0007130975,0.0005085439,0.0006963392],"category_scores_gemma":[0.002085757,0.000315228,0.0004282562,0.0004750304,0.0003608426,0.0006780981,0.0003564056,0.0005003196,0.0005920742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006325256,"about_ca_system_score_gemma":0.0004809168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006923927,"about_ca_topic_score_gemma":0.004371056,"domain_scores_codex":[0.9996452,0.00005568725,0.0000134648,0.0001313011,0.0001293841,0.00002493066],"domain_scores_gemma":[0.999339,0.0003001623,0.0001126358,0.00007168811,0.0001545377,0.00002198768],"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":[0.0002114852,0.0001000064,0.01100797,0.0002795948,0.00003768631,0.0001108566,0.00023917,0.01128423,0.922232,0.001201109,0.0003206644,0.05297502],"study_design_scores_gemma":[0.00002060583,0.0001946265,0.01859039,0.00003047492,0.0000524082,0.0001644189,0.0001061782,0.4259305,0.5518375,0.0007668225,0.002252594,0.00005338746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5720524,0.001617001,0.4192859,0.0001976409,0.00007774423,0.000173269,0.0006333579,0.001723395,0.004239195],"genre_scores_gemma":[0.9047964,0.001585187,0.09006948,0.0000787093,0.00001549962,0.0001120659,0.0002696451,0.000113192,0.002959804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006923927,"threshold_uncertainty_score":0.01376724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587380994463435,"score_gpt":0.292776928366223,"score_spread":0.2769031184215887,"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."}}