{"id":"W2072910132","doi":"10.1149/05201.0765ecst","title":"Yellowing Mechanism and Solution for Chip Card Module","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Curing (chemistry); Fourier transform infrared spectroscopy; Nitrogen; Mold; Chip; Chemistry; Materials science; Chemical engineering; Polymer chemistry; Composite material; Computer science; Engineering; Organic chemistry; Telecommunications","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":[0.0003041487,0.0004697557,0.0002210867,0.0004451221,0.0003906997,0.0004672321,0.0005464879,0.0006654686,0.008185199],"category_scores_gemma":[0.0003012536,0.0002535247,0.0003289265,0.0002157191,0.0002628145,0.0007712245,0.000392637,0.0007196753,0.00229954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768399,"about_ca_system_score_gemma":0.0003572965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002555207,"about_ca_topic_score_gemma":0.0003936497,"domain_scores_codex":[0.9997686,0.00001737415,0.00001211809,0.00007645238,0.00009582521,0.0000296652],"domain_scores_gemma":[0.99985,0.00001462328,0.00002858298,0.00002640787,0.0000622374,0.00001812967],"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":[0.00007617297,0.0000409623,0.0002963908,0.0002545078,0.000006296545,0.0001144372,0.00009281949,0.0003060169,0.9727958,0.003143456,0.001124184,0.02174899],"study_design_scores_gemma":[0.00002030639,0.0002824714,0.0006875242,0.00001504499,0.000008105133,0.0001829652,0.00003824738,0.001796138,0.9770325,0.0002503585,0.0196748,0.00001150607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.699879,0.004653554,0.2358643,0.001495946,0.001492286,0.00104044,0.0008532956,0.002538676,0.05218253],"genre_scores_gemma":[0.804754,0.002199784,0.1152593,0.0006491294,0.0001087218,0.0003876691,0.000516679,0.0001986805,0.07592602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008185199,"threshold_uncertainty_score":0.02738225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591771101376241,"score_gpt":0.2040728065613757,"score_spread":0.1881550955476133,"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."}}