{"id":"W4400407210","doi":"10.1021/acsomega.4c04843","title":"Characterization of Potential Plastic-Degradation Enzymes from Marine Bacteria","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"University of Toronto; Ontario Genomics; Genome Canada; Queen's University; Government of Canada; McGill University","keywords":"Bacteria; Degradation (telecommunications); Marine bacteriophage; Characterization (materials science); Enzyme; Chemistry; Biology; Microbiology; Biochemical engineering; Materials science; Biochemistry; Nanotechnology; Computer science; Engineering; Genetics","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":[0.00006010811,0.00009088869,0.00009041531,0.00004041131,0.00003683912,0.00004809048,0.0000858076,0.00005580658,0.002089005],"category_scores_gemma":[0.00003888842,0.000082184,0.00002689761,0.0001460721,0.00004789057,0.0002092391,0.0001002752,0.00006126764,0.0004641163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004421342,"about_ca_system_score_gemma":0.00001097385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002655431,"about_ca_topic_score_gemma":0.00003881257,"domain_scores_codex":[0.9993222,0.00001954215,0.000182795,0.0001916044,0.0001632404,0.0001205561],"domain_scores_gemma":[0.9997248,0.00007343364,0.00005167528,0.0001032211,0.000005402143,0.00004148337],"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":[0.00002027754,0.00002200734,0.001425932,0.000009200917,0.00001280209,0.000004693246,0.00005570681,0.00006140138,0.9903637,0.0003808906,0.0004012918,0.007242137],"study_design_scores_gemma":[0.0002931284,0.00009060546,0.613407,0.00006460854,0.00008070772,0.0000089533,0.00001104038,0.01999557,0.3436608,0.0008400522,0.02129216,0.000255323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791903,0.00001339822,0.01890517,0.00006370012,0.001002321,0.00006113053,0.0002433498,0.00003656064,0.0004840864],"genre_scores_gemma":[0.9982065,0.00003583413,0.0005070688,0.00001747225,0.0001218938,0.000003080484,0.0005666546,0.00001100478,0.0005305186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6467028,"threshold_uncertainty_score":0.9988232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005294916094516617,"score_gpt":0.1850254988367248,"score_spread":0.1797305827422082,"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."}}