{"id":"W4415583573","doi":"10.1021/prechem.5c00080","title":"Standardizing Depolymerization: Strategies and Performance Metrics","year":2025,"lang":"en","type":"review","venue":"Precision Chemistry","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Northeastern University; Deutsche Forschungsgemeinschaft; University of Utah","keywords":"Depolymerization; Transformative learning; Key (lock); Realization (probability); Strengths and weaknesses","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002944687,0.0003729635,0.0009967694,0.0000809401,0.0002568047,0.000578106,0.0004069841,0.0003321186,0.0003625811],"category_scores_gemma":[0.0001824493,0.0002666417,0.0001367962,0.0003738683,0.0001039201,0.0002915145,0.000283063,0.0002104479,0.00001361122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003274079,"about_ca_system_score_gemma":0.0005553113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000600109,"about_ca_topic_score_gemma":1.823869e-7,"domain_scores_codex":[0.9982637,0.00007069604,0.0005467416,0.0005248165,0.0003388906,0.0002552199],"domain_scores_gemma":[0.9988062,0.0003909791,0.0002568972,0.0004241926,0.00004110605,0.00008059425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006902545,0.000008091654,9.836438e-7,0.0264032,0.00001371385,0.000001087363,0.00001609762,1.006833e-7,0.001408457,0.000006466536,0.00005185367,0.972083],"study_design_scores_gemma":[0.00007262617,0.00001530865,2.90346e-7,0.01805513,0.0003003091,0.00002357137,0.00007362512,0.00001809948,0.3030627,0.00001502278,0.6778902,0.000473044],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001253397,0.9923798,0.0004260638,0.000007635514,0.0002538455,0.0001366257,0.00008879833,0.0000815957,0.006500251],"genre_scores_gemma":[0.0006638563,0.9974869,0.0007622538,0.00000767094,0.0001071166,0.00005818143,0.0000276895,0.00002399879,0.0008623666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.97161,"threshold_uncertainty_score":0.9999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410888547176684,"score_gpt":0.2940022133560067,"score_spread":0.2529133586383384,"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."}}