{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000198518,0.0004241818,0.0004272303,0.0004086808,0.0002943562,0.0008036451,0.0005407051,0.0005539931,0.009775656],"category_scores_gemma":[0.0004427941,0.0003829523,0.000407015,0.0003286275,0.0002640505,0.0006877145,0.0005765483,0.001055711,0.004370104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031468,"about_ca_system_score_gemma":0.0001130113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952591,"about_ca_topic_score_gemma":0.000651974,"domain_scores_codex":[0.9997841,0.00001131105,0.00002309289,0.00007023512,0.00008334663,0.00002803389],"domain_scores_gemma":[0.9996253,0.0001493169,0.00002771996,0.00008860885,0.0000642566,0.00004467864],"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":[0.00001929165,0.00001549536,0.00004454017,0.00009411843,0.000004421761,0.0001627355,0.00003366317,0.0003164593,0.9890007,0.0007097924,0.0006164009,0.00898224],"study_design_scores_gemma":[0.000009254298,0.00004871896,0.0002244875,0.000006932774,0.000006491458,0.0001314589,0.00001319683,0.001848951,0.9881396,0.0003158752,0.00924781,0.000007124619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.492371,0.00366426,0.402571,0.001278725,0.001420257,0.000674526,0.003630748,0.007165396,0.08722419],"genre_scores_gemma":[0.7649865,0.002099196,0.1888579,0.0003894844,0.0001057677,0.0003052248,0.002330727,0.001117446,0.03980766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009775656,"threshold_uncertainty_score":0.03270286,"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."}}