{"id":"W3161317607","doi":"10.3390/polym13101579","title":"Screening for Methane Utilizing Mixed Communities with High Polyhydroxybutyrate (PHB) Production Capacity Using Different Design Approaches","year":2021,"lang":"en","type":"article","venue":"Polymers","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyhydroxybutyrate; Bioplastic; Polyhydroxyalkanoates; Biomass (ecology); Pulp and paper industry; Methanotroph; Methane; Environmental science; Biopolymer; Biodegradation; Microbial consortium; Bacterial growth; Nitrate; Waste management; Chemistry; Materials science; Bacteria; Biology; Anaerobic oxidation of methane; Ecology; Microorganism; Engineering; Polymer; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005736888,0.0003217658,0.0004430274,0.00009432634,0.0006705307,0.0001962686,0.0002420777,0.00009633134,0.0001477474],"category_scores_gemma":[0.00005020281,0.0002380062,0.00009209273,0.0001764469,0.0003160957,0.0003380381,0.0000918404,0.0001372019,0.000002551593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005331864,"about_ca_system_score_gemma":0.00009965089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869241,"about_ca_topic_score_gemma":0.0003322349,"domain_scores_codex":[0.997847,0.0005702061,0.0003135045,0.0004122625,0.0003001608,0.0005569211],"domain_scores_gemma":[0.9989402,0.0002133517,0.0001852675,0.0004762803,0.00007694253,0.0001079525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000362376,0.0001066383,0.0003347067,0.000145798,0.0001106201,0.000002310609,0.002071281,0.0002908809,0.9812551,0.0003845109,0.00001769535,0.01491815],"study_design_scores_gemma":[0.0003596073,0.00009297569,0.0001195838,0.0001565873,0.0001476502,0.00004030138,0.00669222,0.003160562,0.9887565,0.00006776745,0.00004299263,0.0003631926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322749,0.006990572,0.05909247,0.0005530405,0.0005340591,0.0003096958,0.00005424248,0.0001216383,0.00006941658],"genre_scores_gemma":[0.9494935,0.00003042325,0.049799,0.00007307732,0.0001360427,0.00009317551,0.00002190498,0.00005009893,0.0003028215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721859,"threshold_uncertainty_score":0.970561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2430799567052488,"score_gpt":0.255868416697547,"score_spread":0.01278845999229819,"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."}}