{"id":"W4409270643","doi":"10.1002/adma.202419893","title":"Polymer Microarray with Tailored Morphologies through Condensed Droplet Polymerization for High‐Resolution Optical Imaging Applications","year":2025,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Materials science; Polymerization; Nanotechnology; Polymer; Optical microscope; Microscopy; Lithography; Optics; Optoelectronics; Scanning electron microscope","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007100168,0.0001674379,0.0002130779,0.0001152864,0.0001021717,0.00005785005,0.0001233141,0.00006235736,0.0000351222],"category_scores_gemma":[0.00001534607,0.0001562006,0.00003131032,0.0002848219,0.00009411819,0.0002143989,0.00001693389,0.00003636215,0.000003979419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004707823,"about_ca_system_score_gemma":0.00001998685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001328476,"about_ca_topic_score_gemma":0.000001110958,"domain_scores_codex":[0.9991673,0.00001711909,0.0002736535,0.0002328229,0.0000812251,0.0002279177],"domain_scores_gemma":[0.9994984,0.0000506235,0.00006021337,0.0002717212,0.00009517828,0.00002383447],"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":[0.00005398214,0.00001713346,0.00002114073,0.00006516833,0.00002424745,3.413954e-7,0.0000247677,0.0001421358,0.9631639,0.03258292,0.00047685,0.003427381],"study_design_scores_gemma":[0.0005171875,0.00002182401,0.000199441,0.0000347678,0.00003389676,0.00000275371,0.00005670133,0.00005416885,0.987252,0.002421937,0.009223343,0.0001819648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03035026,0.0007402962,0.9653211,0.0003973064,0.0002032515,0.0009589748,0.000114327,0.001117925,0.0007965338],"genre_scores_gemma":[0.8976135,0.0001163659,0.100197,0.0002103852,0.00003720253,0.001434207,0.0002502047,0.0000335987,0.0001075712],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8672632,"threshold_uncertainty_score":0.6369677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004452653001660549,"score_gpt":0.2333977911984382,"score_spread":0.2289451381967776,"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."}}