{"id":"W4378447686","doi":"10.2352/issn.2169-4451.2012.28.1.art00037_1","title":"Understanding Post Finishing Performance of Xerographic Prints","year":2012,"lang":"en","type":"article","venue":"Technical programs and proceedings/Technical program and proceedings","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xerox (Canada)","funders":"","keywords":"Adhesive; Adhesion; Residual oil; Materials science; Pressure sensitive; Coating; Reagent; Residual; Composite material; Nanotechnology; Chemistry; Computer science; Layer (electronics); Organic chemistry","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":[0.0003124347,0.0003823139,0.000319175,0.0003569778,0.0001409364,0.0003583176,0.0004521816,0.0004661992,0.001008777],"category_scores_gemma":[0.001082271,0.0002195679,0.0002949687,0.0002251863,0.0001743792,0.0008916971,0.000112567,0.0005943184,0.0005450797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812816,"about_ca_system_score_gemma":0.0001445862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376307,"about_ca_topic_score_gemma":0.001277507,"domain_scores_codex":[0.9997628,0.000009464664,0.00001136824,0.00004917947,0.0001216717,0.00004557302],"domain_scores_gemma":[0.9994579,0.0002908201,0.00007417853,0.00005089205,0.0001074839,0.00001866292],"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":[0.00006215239,0.00003251455,0.001472746,0.0001057915,0.000006390399,0.00007852977,0.00005257018,0.003435625,0.9846406,0.00008280598,0.00005637612,0.009973912],"study_design_scores_gemma":[0.00000214226,0.0002117254,0.008028936,0.000003569523,0.00001014049,0.00004880139,0.0000196964,0.01679088,0.9744596,0.00004181228,0.0003753212,0.00000752564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735219,0.000863819,0.02335495,0.00002903414,0.00001077906,0.00002586616,0.0002017803,0.0003207471,0.001671061],"genre_scores_gemma":[0.9910244,0.0007695119,0.00653561,0.00001289488,0.000004465505,0.00001442009,0.0003117901,0.00005236853,0.00127461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001376307,"threshold_uncertainty_score":0.003374696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08175984678720927,"score_gpt":0.2760448265375021,"score_spread":0.1942849797502928,"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."}}