{"id":"W2032716518","doi":"10.1007/s10971-009-1893-6","title":"Preparation and methodology for chemical mapping of sol–gel thin films containing lysozyme","year":2009,"lang":"en","type":"article","venue":"Journal of Sol-Gel Science and Technology","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Sol-gel; Biomolecule; Materials science; Spin coating; Thin film; Chemical imaging; Nanoscopic scale; Lysozyme; Chemical engineering; Coating; Monomer; Nanotechnology; Chemistry; Polymer; Computer science; 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":[0.001241294,0.00008500798,0.0003504626,0.0003074443,0.0001929568,0.00009258866,0.0001914865,0.000084465,0.00004231405],"category_scores_gemma":[0.0004552644,0.00006012446,0.0000436454,0.0001045751,0.0008763722,0.0003697445,0.00005201753,0.0001039934,3.275568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064575,"about_ca_system_score_gemma":0.00005303933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001795834,"about_ca_topic_score_gemma":0.0000341837,"domain_scores_codex":[0.9990811,0.00002168932,0.0004077946,0.0001506046,0.0001522279,0.0001865919],"domain_scores_gemma":[0.9989384,0.00008243431,0.0003904218,0.00008007394,0.0004685536,0.00004015545],"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":[0.00007465418,0.00002897912,0.0001056533,0.00002152704,0.00002852641,0.000003855549,0.01149317,0.000002999213,0.9275566,0.05179375,0.0001962157,0.008694092],"study_design_scores_gemma":[0.003176824,0.005745788,0.0008242924,0.0003815074,0.000419317,0.0008853654,0.08896386,0.006882473,0.6279767,0.2376007,0.02635485,0.0007882972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963169,0.0003892325,0.0004938706,0.002188438,0.0001147072,0.00008680402,0.000003660105,0.00001631288,0.0003900968],"genre_scores_gemma":[0.9899229,0.00005795329,0.009725122,0.0001150708,0.00009424362,0.000002068295,5.793819e-7,0.000002670835,0.00007932399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2995799,"threshold_uncertainty_score":0.322903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09888240872802892,"score_gpt":0.3289786116772335,"score_spread":0.2300962029492046,"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."}}