{"id":"W3122883960","doi":"10.1007/s42452-020-04090-2","title":"Impact of MTA blend % in melt spinning process and polyester properties","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Polyethylene terephthalate; Terephthalic acid; Materials science; Polyester; Breakage; Composite material; Spinning; Fourier transform infrared spectroscopy; Tenacity (mineralogy); Fiber; Raw material; Melting point; Chemical engineering; Organic chemistry; Chemistry","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":[0.0005373004,0.0001304619,0.0002443843,0.00009096498,0.0001708105,0.0001637979,0.0002494129,0.00004529108,0.0001918228],"category_scores_gemma":[0.00003481805,0.00007929193,0.00003078938,0.0004034454,0.000650083,0.0002478863,0.000100342,0.0000592976,0.000008846462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353995,"about_ca_system_score_gemma":0.0002786914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002824897,"about_ca_topic_score_gemma":0.00005297984,"domain_scores_codex":[0.998736,0.00004271405,0.0002523743,0.0003698091,0.0002894324,0.0003097267],"domain_scores_gemma":[0.9996436,0.00003114125,0.0000871111,0.000146767,0.00003880709,0.00005257006],"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":[0.00003416301,0.00004712691,0.007307867,0.00007506235,0.000004255392,0.000002037565,0.002010366,0.0000273236,0.9807469,0.0003378389,0.00001300167,0.009394039],"study_design_scores_gemma":[0.00011936,0.00006424179,0.005914869,0.00008704202,0.00000499929,0.000008330936,0.001462263,0.0002009637,0.9916214,0.0003571124,0.00002288408,0.0001365496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884633,0.006720826,0.00001208626,0.0002076267,0.00005964993,0.00008454655,0.000005280238,0.00001808757,0.004428565],"genre_scores_gemma":[0.9993202,0.00003190424,0.0004559787,0.00005223961,0.00002621862,0.00001860708,3.296293e-7,0.000005913964,0.00008857701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087447,"threshold_uncertainty_score":0.3233431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0400440706629253,"score_gpt":0.2796777318817989,"score_spread":0.2396336612188736,"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."}}