{"id":"W4280623738","doi":"10.1016/j.carbpol.2022.119590","title":"Starch modification for non-food, industrial applications: Market intelligence and critical review","year":2022,"lang":"en","type":"review","venue":"Carbohydrate Polymers","topic":"Food composition and properties","field":"Nursing","cited_by":177,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"National Research Council Canada","keywords":"Starch; Business; Sustainability; Food industry; Modified starch; Corn starch; Biotechnology; Food science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005254419,0.0004114321,0.001070127,0.0002451568,0.0003566004,0.0001025193,0.0004143091,0.0002440167,0.0004701104],"category_scores_gemma":[0.0002161048,0.0003840351,0.0003233142,0.0005764882,0.0002150629,0.0001047026,0.000114794,0.000569736,0.00001573548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899051,"about_ca_system_score_gemma":0.0001802224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000016719,"about_ca_topic_score_gemma":9.72476e-7,"domain_scores_codex":[0.9975044,0.0004202035,0.0007927829,0.0006524191,0.0002611293,0.0003691367],"domain_scores_gemma":[0.9981258,0.0008421291,0.0002482601,0.0005444966,0.0000675374,0.0001717978],"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":[0.00009389457,0.00003389251,7.028729e-8,0.02706575,0.00005997272,4.531928e-7,0.00004208565,2.063387e-7,0.000002654778,0.0002030432,0.00135633,0.9711416],"study_design_scores_gemma":[0.00009074328,0.0007221816,3.465868e-8,0.008581208,0.0009311787,0.00001399637,0.00005332851,0.00009530975,0.00002352919,0.0001047818,0.9889644,0.0004193444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.613848e-7,0.9928761,0.000232458,0.0008828036,0.0008372368,0.003642359,0.0003699195,0.00007507165,0.001083561],"genre_scores_gemma":[0.0001054236,0.9918261,0.0001378198,0.0005657455,0.0003242837,0.006339082,0.0005000891,0.00008395532,0.0001175257],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.987608,"threshold_uncertainty_score":0.9998612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762841700607429,"score_gpt":0.3681578150940016,"score_spread":0.1918736450332587,"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."}}