{"id":"W2062138732","doi":"10.1007/s11090-010-9261-4","title":"Anti-Fog Layer Deposition onto Polymer Materials: A Multi-Step Approach","year":2010,"lang":"en","type":"article","venue":"Plasma Chemistry and Plasma Processing","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"Centre québécois sur les matériaux fonctionnels","keywords":"Materials science; Coating; Chemical engineering; Hexamethyldisiloxane; Spin coating; Polymer; Polycarbonate; Layer (electronics); Maleic anhydride; X-ray photoelectron spectroscopy; Silicon; Dissolution; Polymer chemistry; Fourier transform infrared spectroscopy; Composite material; Copolymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001421533,0.000414453,0.0004056556,0.0002547612,0.0002938252,0.0002536028,0.0005252736,0.0003605682,0.0008058839],"category_scores_gemma":[0.0001167846,0.0003632506,0.0003264034,0.0001341759,0.0001916442,0.0003634019,0.0004620042,0.0006559188,0.0003224033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921998,"about_ca_system_score_gemma":0.0002500878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004630419,"about_ca_topic_score_gemma":0.001054536,"domain_scores_codex":[0.9998569,0.00001178669,0.000007967331,0.00003024114,0.00006253817,0.00003039925],"domain_scores_gemma":[0.9999322,0.00001546466,0.00001291416,0.00001765773,0.00001476379,0.000007044957],"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":[0.00001939504,0.00001370794,0.00003631114,0.00003787132,0.000005843251,0.00003429056,0.00001687698,0.00007390454,0.9965547,0.0001696759,0.00005160171,0.002985866],"study_design_scores_gemma":[0.000004144984,0.00005244833,0.0003616582,0.000001464669,0.00000623403,0.0001171679,0.000005838946,0.0009690948,0.9970388,0.00005613078,0.001382436,0.000004653748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625821,0.003191432,0.1218225,0.0002189296,0.0002189164,0.0003555281,0.0002263508,0.0004878324,0.01089638],"genre_scores_gemma":[0.8932433,0.001777158,0.09672035,0.0001085766,0.00004483813,0.0001310187,0.000167214,0.00007827766,0.00772924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008058839,"threshold_uncertainty_score":0.002695978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318990369420596,"score_gpt":0.2478277111145228,"score_spread":0.2246378074203168,"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."}}