{"id":"W3092984534","doi":"10.1007/s10811-020-02271-5","title":"The roles of phytohormones in metal stress regulation in microalgae","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Phycology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Trent University","keywords":"Heavy metals; Environmental science; Ecosystem; Biochemical engineering; Ecology; Biology; Environmental chemistry; Chemistry; Engineering","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":[0.0003269526,0.00007237909,0.0002383018,0.0000772116,0.00002817606,0.000003328263,0.0001474003,0.0001240969,0.00003628217],"category_scores_gemma":[0.00004139113,0.00004771309,0.00004910647,0.0001951989,0.0001133434,0.00004544959,0.00002759365,0.0002484302,0.000004517855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000234213,"about_ca_system_score_gemma":0.00003198477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497714,"about_ca_topic_score_gemma":0.0003633032,"domain_scores_codex":[0.9991664,0.00008293927,0.0004603221,0.00009574358,0.00007206278,0.0001225292],"domain_scores_gemma":[0.999405,0.0000954666,0.0003646875,0.00006407982,0.00004821429,0.00002256689],"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":[0.003596277,0.0001830115,0.01099524,0.00003240314,0.0001170334,0.00001309266,0.001705034,0.007717329,0.9083459,0.02532663,0.0002894723,0.04167852],"study_design_scores_gemma":[0.002762754,0.000755289,0.3749407,0.00002233878,0.00006014525,0.00003053467,0.002111895,0.0003525064,0.5651553,0.04172283,0.01187641,0.0002093304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995049,0.0006447373,0.0000213994,0.001841099,0.0001512643,0.00007792981,0.000001045623,0.000003389381,0.002210159],"genre_scores_gemma":[0.9994128,0.0001075599,0.0001464428,0.000104988,0.0002086177,0.00000287329,0.000002507902,0.000004626271,0.00000955318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3639454,"threshold_uncertainty_score":0.1945683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072356077546891,"score_gpt":0.2208181496103811,"score_spread":0.2100945888349122,"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."}}