{"id":"W4378376703","doi":"10.2352/issn.2169-4451.2013.29.1.art00001_2","title":"Development of Digital Quasi-embossing Technology with an Inkjet Printer-2","year":2013,"lang":"en","type":"article","venue":"Technical programs and proceedings/Technical program and proceedings","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embossing; Stamping; Inkwell; FOIL method; Digital printing; Pressing; Materials science; Inkjet printing; 3d printer; Computer science; Engineering drawing; Mechanical engineering; Composite material; Engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004173963,0.0003567126,0.0002539682,0.0006744987,0.0002631407,0.0006823084,0.0008311147,0.0004565483,0.002717608],"category_scores_gemma":[0.0003568754,0.0003392395,0.0002606095,0.0004307215,0.0004372848,0.0006537423,0.000375007,0.0005555604,0.0009932077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009884915,"about_ca_system_score_gemma":0.001070105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004230374,"about_ca_topic_score_gemma":0.005912047,"domain_scores_codex":[0.9995639,0.00002125831,0.00002636911,0.00008969563,0.0002708408,0.00002798242],"domain_scores_gemma":[0.9997591,0.00003895176,0.00003015827,0.00004381056,0.0001067886,0.00002120384],"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":[0.00002362712,0.00003557392,0.0004772637,0.0002986561,0.000007909188,0.0001462923,0.00007204362,0.0007710588,0.9087136,0.004987951,0.0008575093,0.08360848],"study_design_scores_gemma":[0.00002587707,0.0002941044,0.003412039,0.0000327512,0.00002704332,0.001430707,0.00002727763,0.01430094,0.9001272,0.0004255715,0.07984222,0.00005431679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1458705,0.005498577,0.8106232,0.0006245586,0.0008199715,0.0004890529,0.0006824161,0.002588942,0.03280285],"genre_scores_gemma":[0.2663533,0.003357606,0.70249,0.000169451,0.00008404513,0.0002175854,0.0005655218,0.0001078134,0.02665463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004230374,"threshold_uncertainty_score":0.009091318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303265036551303,"score_gpt":0.2434196107626977,"score_spread":0.2303869603971847,"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."}}