{"id":"W4401796842","doi":"10.4236/msce.2024.128001","title":"Machine Learning Based Virtual Screening for Biodegradable Polyesters","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Science and Chemical Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Milton District Hospital","funders":"","keywords":"Materials science; Polyester; Polymer science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283053,0.001057374,0.001012545,0.001121779,0.0002726327,0.00087826,0.0007365545,0.0007106467,0.001215226],"category_scores_gemma":[0.002137819,0.0003070558,0.0009241676,0.0007082182,0.0004070295,0.0005069675,0.0006006844,0.0006514445,0.0003675088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007352641,"about_ca_system_score_gemma":0.0007143255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951904,"about_ca_topic_score_gemma":0.002309508,"domain_scores_codex":[0.9994023,0.0002304469,0.00003494127,0.0001200046,0.0001376222,0.00007479053],"domain_scores_gemma":[0.9990627,0.00055212,0.000113407,0.00008986295,0.0001192913,0.00006263145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007763826,0.000989465,0.00631015,0.0005348035,0.0002651449,0.0002860881,0.00005382489,0.8177784,0.03859346,0.00261375,0.002819779,0.1289787],"study_design_scores_gemma":[0.00003798775,0.0004073004,0.0006366817,0.000008002472,0.00002943975,0.0000397264,0.000009717896,0.9837839,0.01354303,0.000622118,0.0008699913,0.00001212673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.87753,0.002987792,0.1051292,0.0005835341,0.0001573783,0.0004281252,0.002191619,0.004150411,0.006842045],"genre_scores_gemma":[0.9377845,0.0006977803,0.0573561,0.0001954158,0.00002701308,0.0002114321,0.001953208,0.00004526653,0.001729158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001951904,"threshold_uncertainty_score":0.006785512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008060956230468262,"score_gpt":0.2027616266734858,"score_spread":0.1947006704430175,"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."}}