{"id":"W4395671890","doi":"10.1016/j.ijbiomac.2024.131894","title":"Innovative plasticization technique for talc-powder reinforced wheat-starch biomass composite plastics with enhanced mechanical strength","year":2024,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Materials science; Thermoplastic; Ultimate tensile strength; Thermogravimetric analysis; Composite material; Differential scanning calorimetry; Composite number; Talc; Starch; Plasticizer; Fourier transform infrared spectroscopy; Dynamic mechanical analysis; Polymer; Chemical engineering; Chemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517674,0.0004385468,0.0001972375,0.0004259493,0.0002308822,0.0002425511,0.0002701817,0.0003297384,0.0009335054],"category_scores_gemma":[0.0001240126,0.0002220474,0.0003963526,0.0003195781,0.0002251101,0.000359221,0.0002629917,0.0005759998,0.0002911418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493695,"about_ca_system_score_gemma":0.0001916848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002510718,"about_ca_topic_score_gemma":0.0006293844,"domain_scores_codex":[0.9998751,0.0000125356,0.00001131696,0.00003029295,0.00004047692,0.00003021217],"domain_scores_gemma":[0.9999042,0.00001426932,0.00003358486,0.00001210173,0.0000193306,0.00001653301],"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":[0.00001789211,0.000009994559,0.00003589396,0.00003111125,0.000002762552,0.00004504177,0.00001606109,0.0001035753,0.9981964,0.00007158109,0.00001647373,0.001453288],"study_design_scores_gemma":[0.000003043363,0.00005416507,0.0004177895,0.00000182139,0.000007322312,0.00006527887,0.00001293633,0.0007178687,0.9981494,0.00001817583,0.0005466638,0.000005483515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548902,0.001238686,0.04045521,0.0001261308,0.00009353069,0.00006272105,0.0001089054,0.000232939,0.002791754],"genre_scores_gemma":[0.9874183,0.0003285413,0.01025068,0.00004757052,0.00001380252,0.00003238254,0.00005453186,0.00002686246,0.001827271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009335054,"threshold_uncertainty_score":0.003122866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348783723750323,"score_gpt":0.2743011040355145,"score_spread":0.2508132667980112,"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."}}