{"id":"W1999299207","doi":"10.1016/s0144-8617(99)00166-6","title":"Formation and characterization of superparamagnetic cross-linked high amylose starch","year":2000,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Food composition and properties","field":"Nursing","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Superparamagnetism; Ferrous; Ferrimagnetism; Amylose; Transmission electron microscopy; Coprecipitation; Polymer; Materials science; Chemical engineering; Precipitation; Characterization (materials science); Mössbauer spectroscopy; Phase (matter); Magnetization; Scanning electron microscope; Nanoparticle; Starch; Chemistry; Crystallography; Inorganic chemistry; Nanotechnology; Metallurgy; Organic chemistry; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00005782616,0.0001113082,0.000141814,0.00009973692,0.0001022622,0.00006675239,0.00007146248,0.00006505435,0.0005853983],"category_scores_gemma":[0.000003752751,0.0001072791,0.00003056646,0.0001657377,0.000144743,0.0003391317,0.00001150717,0.0000731677,0.00002261721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002180796,"about_ca_system_score_gemma":0.000009453075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624997,"about_ca_topic_score_gemma":0.000003598982,"domain_scores_codex":[0.9992364,0.00007517245,0.0002479812,0.0001394038,0.000129194,0.0001718672],"domain_scores_gemma":[0.9996713,0.00001637527,0.00005399424,0.0001499526,0.00004459646,0.00006377258],"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":[0.0009964404,0.00002479358,0.0002063096,0.00005235767,0.00000818292,8.559475e-7,0.001629678,0.00002973039,0.9298249,0.00004036734,0.000003055502,0.06718326],"study_design_scores_gemma":[0.001481173,0.001724321,0.0495007,0.00009018877,0.00005459803,0.00001161566,0.000148933,0.0089559,0.9349387,0.0001278168,0.002611887,0.000354178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974307,0.0002640517,0.000003417266,0.0006219266,0.0001841195,0.0001592843,0.0000290181,0.0000564318,0.001251061],"genre_scores_gemma":[0.9991497,0.00006427558,0.00002905776,0.0002976637,0.00003636653,0.00001020506,0.0001341935,0.00001649972,0.0002620323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06682908,"threshold_uncertainty_score":0.6409701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254024199230657,"score_gpt":0.2381010818095102,"score_spread":0.2255608398172036,"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."}}