{"id":"W2993954087","doi":"10.1021/acs.est.9b06187","title":"Microplastic Impacts on Microalgae Growth: Effects of Size and Humic Acid","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":388,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Microplastics; Particle size; Humic acid; Chemistry; Toxicity; Environmental chemistry; Biota; Algae; Scenedesmus obliquus; Particle (ecology); Biophysics; Botany; Biology; Ecology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001367221,0.0003716709,0.0002227334,0.000241862,0.0001775077,0.0002564303,0.0001142675,0.0003592424,0.0004823301],"category_scores_gemma":[0.0002287425,0.0001340083,0.0003423386,0.0001423273,0.0002297535,0.0002698478,0.0002541416,0.000238774,0.00007458532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002425913,"about_ca_system_score_gemma":0.0002897263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002659353,"about_ca_topic_score_gemma":0.003848003,"domain_scores_codex":[0.9998247,0.00002657721,0.00001922554,0.00003476674,0.00006288711,0.00003188015],"domain_scores_gemma":[0.9998042,0.00004289442,0.00005738983,0.00001306224,0.00004620964,0.00003612755],"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":[0.0001134456,0.00002351323,0.002404489,0.00008934156,0.00001544703,0.00005706833,0.00002971919,0.0001751423,0.9949062,0.00001541827,0.0000157105,0.002154424],"study_design_scores_gemma":[0.000005975109,0.0006097512,0.05976573,0.0000118024,0.00005132412,0.0001324794,0.0001562437,0.0008318858,0.9374193,0.00004749363,0.0009527626,0.00001535994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975084,0.001066509,0.0005578796,0.00004426602,0.00001233766,0.00001473765,0.0001123425,0.000009796079,0.0006737478],"genre_scores_gemma":[0.9983012,0.0005404024,0.0005584873,0.00004585032,0.000004547748,0.00001223673,0.00006530355,0.000003187567,0.0004687431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002659353,"threshold_uncertainty_score":0.005287826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001520006239726117,"score_gpt":0.1675665638931463,"score_spread":0.1660465576534202,"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."}}