{"id":"W1999713799","doi":"10.1021/am5087177","title":"Printing Small Dots from Large Drops","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Engineering and Physical Sciences Research Council","keywords":"Materials science; Nanotechnology; Quantum dot; Engineering physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004366944,0.0002981216,0.0004115168,0.00007477104,0.00005439049,0.0002991387,0.0005211203,0.0002116823,0.0002514618],"category_scores_gemma":[0.00005035556,0.0002726691,0.00001261917,0.00008107383,0.00004278458,0.00009271489,0.0004310894,0.0001088903,0.0005548123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000485508,"about_ca_system_score_gemma":0.00001252845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023411,"about_ca_topic_score_gemma":0.000023209,"domain_scores_codex":[0.9986243,0.00002359938,0.0004500735,0.0003112711,0.0001309479,0.0004597956],"domain_scores_gemma":[0.9993359,0.00003866552,0.00008224664,0.0004477381,0.0000355654,0.00005990125],"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":[0.00002296187,0.00001493758,0.00006590471,0.00004698022,0.00004944282,0.000003853122,0.0003184225,0.0001524279,0.9958624,0.001777346,0.0004045256,0.001280848],"study_design_scores_gemma":[0.0003993499,0.00001934936,0.0002421294,0.00004711992,0.00001754783,0.000002168053,0.0003082659,0.000008835934,0.9908703,0.005972565,0.001788402,0.0003239639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923857,0.0002115005,0.0002666592,0.00004160407,0.001630862,0.0002281852,0.0001196056,0.002182195,0.002933645],"genre_scores_gemma":[0.9956784,0.00003619801,0.003805451,0.00003135619,0.0002436622,0.00006650411,0.00002612142,0.00007227125,0.00004006919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004992048,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299647529837816,"score_gpt":0.2078940837828971,"score_spread":0.1848976084845189,"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."}}