{"id":"W2040417399","doi":"10.1007/s10570-015-0569-3","title":"Droplets of cellulose nanocrystal suspensions on drying give iridescent 3-D “coffee-stain” rings","year":2015,"lang":"en","type":"article","venue":"Cellulose","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Iridescence; Materials science; Coffee ring effect; Cellulose; Evaporation; Suspension (topology); Structural coloration; Enhanced Data Rates for GSM Evolution; Composite material; Optics; Nanocrystal; Optical microscope; Chemical engineering; Nanotechnology; Optoelectronics; Scanning electron microscope; Photonic crystal","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":[0.0002992111,0.0002652388,0.000347815,0.0001876798,0.00004567497,0.00004284824,0.0003214745,0.0001626132,0.00008833301],"category_scores_gemma":[0.0001589574,0.000250878,0.00009381372,0.0002108928,0.00009776259,0.00008776967,0.0001953863,0.000192213,0.0001457675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245954,"about_ca_system_score_gemma":0.0000356529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005654108,"about_ca_topic_score_gemma":0.000005465847,"domain_scores_codex":[0.9986455,0.00003166937,0.0003960815,0.0002619998,0.0002456265,0.0004190852],"domain_scores_gemma":[0.9991322,0.00006209742,0.00008011479,0.000492258,0.00009563445,0.0001376542],"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":[0.00005780665,0.0001242887,0.0007866141,0.0002152708,0.00005599656,0.0001198563,0.001002265,0.002737005,0.9807229,0.00389758,0.00683947,0.003440948],"study_design_scores_gemma":[0.0005337648,0.0001376212,0.000282996,0.0001231177,0.00002137681,0.000006608998,0.0002428432,0.002079332,0.9844649,0.001217595,0.01057155,0.0003182587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993,0.0003736977,0.0003971282,0.00009105372,0.0008673774,0.0002399899,0.00001105837,0.0008315321,0.004188178],"genre_scores_gemma":[0.9979856,0.00004982446,0.001382949,0.00002010427,0.00007724205,0.00001278669,0.00001284086,0.00005939383,0.000399236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004985637,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531033035309272,"score_gpt":0.2162832836516037,"score_spread":0.1909729532985109,"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."}}