{"id":"W2010738170","doi":"10.1080/10587250008025677","title":"Characterization and Applications of Crosslinkable Materials","year":2000,"lang":"en","type":"article","venue":"Molecular crystals and liquid crystals science technology. Section A, Molecular crystals and liquid crystals/Molecular crystals and liquid crystals science and technology. Section A, Molecular crystals and liquid crystals","topic":"Photorefractive and Nonlinear Optics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College; Cegep de Thetford; Cegep de Trois-Rivieres; Cegep de La Pocatiere; Université Laval","funders":"","keywords":"Materials science; Holography; Characterization (materials science); Polymer; Irradiation; Laser; Process (computing); Nanotechnology; Matrix (chemical analysis); Chemical engineering; Composite material; Optics; Computer science; Engineering","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":[0.0002069542,0.0003188131,0.0001024456,0.0008352136,0.000184005,0.0003144353,0.000206741,0.0004489237,0.001898801],"category_scores_gemma":[0.000627104,0.0001254908,0.0001662116,0.0005142782,0.000164286,0.0003513031,0.0001524734,0.0002424262,0.0003377605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733346,"about_ca_system_score_gemma":0.0001187079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000319722,"about_ca_topic_score_gemma":0.0003958304,"domain_scores_codex":[0.9998183,0.00002085876,0.00001620717,0.00004193986,0.00007523524,0.00002756988],"domain_scores_gemma":[0.9996507,0.00008512598,0.00007993963,0.00004644079,0.0001001426,0.00003759587],"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":[0.00001977026,0.00001455818,0.0002291399,0.00003379914,0.00000301939,0.00003735452,0.00002116955,0.0001201952,0.9974145,0.00007217369,0.00001796033,0.002016467],"study_design_scores_gemma":[0.000001639606,0.00008123315,0.001442076,0.000005703092,0.000006937258,0.00004922131,0.00001649178,0.0003001154,0.9962829,0.00002383897,0.001788084,0.000001850136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870609,0.003270604,0.005263508,0.00005022989,0.00002846275,0.00006497714,0.0003613506,0.00007194983,0.003828044],"genre_scores_gemma":[0.9917129,0.0008898524,0.003638863,0.00003460531,0.000007902104,0.00004652845,0.000542135,0.00003712009,0.003090089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001898801,"threshold_uncertainty_score":0.006352127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004767895129332117,"score_gpt":0.2332547480164437,"score_spread":0.2284868528871116,"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."}}