{"id":"W4281634729","doi":"10.1002/smtd.202200320","title":"Probing the Structural Details of Chitin Nanocrystal–Water Interfaces by Three‐Dimensional Atomic Force Microscopy","year":2022,"lang":"en","type":"article","venue":"Small Methods","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Education, Culture, Sports, Science and Technology; JST-Mirai Program; Sumitomo Foundation","keywords":"Chitin; Nanotechnology; Nanocrystal; Materials science; Nanoscopic scale; Molecule; Molecular dynamics; Polysaccharide; Chemical engineering; Atomic force microscopy; Chemistry; Chemical physics; Chitosan; Organic chemistry; Computational 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001613025,0.0002097185,0.0003307624,0.00005773187,0.0005681553,0.00006146433,0.0005383911,0.00003274589,0.001438097],"category_scores_gemma":[0.00006558721,0.0001290999,0.0001013455,0.0001164121,0.0002461432,0.0001367771,0.0009177368,0.0002481285,0.00001918241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008760853,"about_ca_system_score_gemma":0.00004426607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002868196,"about_ca_topic_score_gemma":0.00005412325,"domain_scores_codex":[0.9975963,0.0008866072,0.0004633217,0.0003707369,0.0002706613,0.0004123827],"domain_scores_gemma":[0.9988791,0.000438996,0.0002402481,0.0003395553,0.00006101619,0.00004113185],"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":[0.0001037012,0.00001336297,0.0004007747,0.00001650292,0.0000372827,9.361737e-7,0.001501796,0.0003007398,0.9961517,0.00003551349,0.0002732559,0.001164438],"study_design_scores_gemma":[0.0002162701,0.00007706678,0.0002295097,0.00001434146,0.00002632815,0.00003859899,0.0005279419,0.0005497955,0.9955624,0.0009789406,0.001613162,0.0001656507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918339,0.001227514,0.004395542,0.0004575135,0.001526599,0.0002913617,0.00008844029,0.00005873013,0.0001204565],"genre_scores_gemma":[0.9437431,0.00000157048,0.05511453,0.0001989665,0.00002746651,0.00008426148,0.00000599772,0.00002549095,0.0007986611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05071899,"threshold_uncertainty_score":0.9994747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299306949191125,"score_gpt":0.3381457134285111,"score_spread":0.3082150185093986,"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."}}