{"id":"W4312197266","doi":"10.1101/2022.12.22.521553","title":"16s rRNA gene sequence analysis of the microbial community on microplastic samples from the North Atlantic and Great Pacific Garbage Patches","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West African Science Service Centre on Climate Change and Adapted Land Use; Memorial University of Newfoundland; Bundesministerium für Bildung und Forschung; Universidad del Atlántico","keywords":"Ocean gyre; Extreme environment; Biology; Plastic pollution; Ecology; Microbial population biology; Phylum; Proteobacteria; Oceanography; Amplicon sequencing; 16S ribosomal RNA; Microplastics; Subtropics; Bacteria; Geology; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000839143,0.000338537,0.0001716817,0.0009789435,0.0003611701,0.0003543333,0.0001048551,0.000166789,0.000687418],"category_scores_gemma":[0.0001556908,0.0001067469,0.0002047237,0.0007695602,0.000213632,0.0001224615,0.0002772015,0.0001374929,0.0001840669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608324,"about_ca_system_score_gemma":0.0002151282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226533,"about_ca_topic_score_gemma":0.01431196,"domain_scores_codex":[0.9999101,0.00000485418,0.000007055627,0.00003546393,0.0000206706,0.00002184626],"domain_scores_gemma":[0.9998882,0.00001771632,0.00003435892,0.000005887578,0.00002780622,0.00002608874],"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":[0.0003001082,0.00003581354,0.1705517,0.0001005233,0.00003773421,0.0002922436,0.0009966004,0.0001468902,0.8190159,0.00002448465,0.00005193979,0.008446121],"study_design_scores_gemma":[0.000002568707,0.00009590999,0.9694002,0.00001080452,0.0000273363,0.0001948129,0.0007497075,0.0002112634,0.0286218,0.000009947153,0.0006713407,0.000004254951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999069,0.0000911215,0.0001006117,0.000006107333,0.000001708901,0.000004937274,0.0005132356,0.000003046109,0.0002103107],"genre_scores_gemma":[0.9958554,0.0002360261,0.000799011,0.0000184565,0.000005207195,0.00001925816,0.001980238,0.000007230564,0.001079078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01226533,"threshold_uncertainty_score":0.02438784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035374650395,"score_gpt":0.1938917661296596,"score_spread":0.1735380196257096,"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."}}