{"id":"W2975644968","doi":"10.1016/j.marpolbul.2019.110562","title":"Selenium in buoyant marine debris biofilm","year":2019,"lang":"en","type":"article","venue":"Marine Pollution Bulletin","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Debris; Algae; Seawater; Environmental chemistry; Environmental science; Biofilm; Marine debris; Surface water; Contamination; Biofouling; Selenium; Oceanography; Chemistry; Ecology; Geology; Biology; Environmental engineering; Bacteria","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":[0.000139331,0.0002785202,0.0002271659,0.0004591647,0.0003419401,0.0004000251,0.0001819515,0.0004373196,0.001732439],"category_scores_gemma":[0.0002121866,0.0001958855,0.0001983296,0.0002477116,0.0002193155,0.0003270448,0.000315932,0.0002945483,0.0003385013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930435,"about_ca_system_score_gemma":0.0003127374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007471676,"about_ca_topic_score_gemma":0.006610077,"domain_scores_codex":[0.9999058,0.00001089336,0.000008408506,0.00002628456,0.00002621872,0.00002233446],"domain_scores_gemma":[0.9998864,0.00002190129,0.0000115487,0.000004759852,0.0000548806,0.00002052274],"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":[0.0007226926,0.00005209256,0.01263105,0.0001196241,0.00003459677,0.0003025019,0.0003699939,0.0002951959,0.9805566,0.0001850801,0.000106425,0.004623976],"study_design_scores_gemma":[0.00005806207,0.001291021,0.2345943,0.00006107258,0.000130937,0.0004707459,0.003303939,0.005044119,0.7486083,0.0004991335,0.005898474,0.00003990841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981081,0.0002940375,0.0002156376,0.00003294664,0.00001871127,0.000003559582,0.0001258455,0.000004206955,0.001196931],"genre_scores_gemma":[0.9940591,0.0002433433,0.0003214589,0.00001961005,0.000006510272,0.000005230123,0.0002711141,0.000004041287,0.005069553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007471676,"threshold_uncertainty_score":0.0148564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004068561733807177,"score_gpt":0.1773627555612244,"score_spread":0.1732941938274173,"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."}}