{"id":"W3026267437","doi":"10.1007/s00128-020-02880-3","title":"The Role of Phytohormones in Enhancing Metal Remediation Capacity of Algae","year":2020,"lang":"en","type":"review","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":25,"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; Government of Ontario","keywords":"Environmental remediation; Algae; Biosorption; Environmental science; Biology; Contamination; Ecology; Chemistry; Adsorption","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000801255,0.0002746721,0.001068258,0.00006944698,0.00005316887,0.000003407461,0.0002721008,0.000259679,0.001078968],"category_scores_gemma":[0.0001535896,0.000222427,0.0001787423,0.00009115993,0.0009041317,0.00003377723,0.0003355148,0.0002487054,0.00006232339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604065,"about_ca_system_score_gemma":0.00001307751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006129766,"about_ca_topic_score_gemma":0.0000657147,"domain_scores_codex":[0.9973832,0.0005156615,0.001126778,0.0003797863,0.0003762436,0.0002183705],"domain_scores_gemma":[0.998129,0.0005672931,0.0009865259,0.0002470308,0.000001953377,0.00006817997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002062832,0.0002702943,0.001021571,0.0004569922,0.00006665498,0.00000243281,0.0003122151,0.000006436439,0.01289118,0.0002208941,0.00002671302,0.984704],"study_design_scores_gemma":[0.0003260401,0.0003126665,0.01416259,0.0002122445,0.0001854289,0.000009479339,0.000246097,0.00002332507,0.005596376,0.00008661773,0.9786323,0.0002068881],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0437031,0.9524304,0.00003470389,0.0001134545,0.0001322671,0.001315641,0.00007466785,0.000007397322,0.002188317],"genre_scores_gemma":[0.2228207,0.7766526,0.000295365,0.00001775953,0.00001627537,0.00006953775,0.00001834269,0.00002115206,0.0000882574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9844971,"threshold_uncertainty_score":0.9998342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311703763095904,"score_gpt":0.2373058072792156,"score_spread":0.2241887696482566,"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."}}