{"id":"W4390719965","doi":"10.11109/jaes.2023.25.1.017","title":"Estimation of biodegradable-resin degradation via controlled composting","year":2023,"lang":"en","type":"article","venue":"Journal of Animal Environmental Science","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biodegradation; Degradation (telecommunications); Bioplastic; Inert; Cellulose; Pulp and paper industry; Waste management; Environmental science; Materials science; Chemistry; Organic chemistry; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001797713,0.0001182374,0.0002505496,0.0002144406,0.0001893889,0.00003960027,0.0004403384,0.00003341712,0.0001402255],"category_scores_gemma":[0.00009922952,0.00009346713,0.0001002149,0.0006665455,0.0006036067,0.0007245082,0.000219579,0.0001126118,0.00007517556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109342,"about_ca_system_score_gemma":0.00001212595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004138072,"about_ca_topic_score_gemma":0.000001235477,"domain_scores_codex":[0.9979628,0.0000480415,0.0005752785,0.0001918563,0.0009740423,0.0002479427],"domain_scores_gemma":[0.9990445,0.00008387877,0.0006294993,0.0001372835,0.000006097842,0.00009867763],"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":[0.0002200545,0.0001134374,0.01499533,0.00000642096,0.000009739852,0.00001113212,0.00009393333,0.01441024,0.9089902,0.00003098728,0.0003683555,0.06075016],"study_design_scores_gemma":[0.002076951,0.001652029,0.4010554,0.00009373412,0.00006680688,0.00006473273,0.0003471942,0.3434404,0.2497679,0.0007835379,0.0003525084,0.0002988359],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937979,0.00002190852,0.004149589,0.0001815756,0.00008580477,0.0001806493,0.000002011839,0.00003000816,0.001550544],"genre_scores_gemma":[0.9920241,0.00005890814,0.007739182,0.00002873499,0.00001844919,0.000002122865,0.000001947753,0.000007649238,0.0001189068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6592223,"threshold_uncertainty_score":0.3811479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316157651442224,"score_gpt":0.2507300353956818,"score_spread":0.2375684588812595,"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."}}