{"id":"W4416885114","doi":"10.37665/srzncwo16137","title":"Improved Dehydration for Moisture Sensitive Devices","year":2022,"lang":"","type":"article","venue":"Soldering and Reliability Conferences","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Moisture; Dehydration; Water content; Presentation (obstetrics)","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":[0.0001608288,0.000391155,0.0003707623,0.0001640362,0.0002766541,0.0004128367,0.0004309895,0.0002981477,0.005135948],"category_scores_gemma":[0.0003155422,0.0002190152,0.0002719904,0.0001390165,0.0001387824,0.0008126833,0.0005081929,0.0007207965,0.001373513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456307,"about_ca_system_score_gemma":0.0001538532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004537775,"about_ca_topic_score_gemma":0.001395342,"domain_scores_codex":[0.9998809,0.000008527491,0.000006697799,0.00003327995,0.00004869304,0.0000218914],"domain_scores_gemma":[0.9999044,0.00001545755,0.00001384445,0.00001604016,0.00003905284,0.00001116113],"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":[0.00003605639,0.000025909,0.00007739706,0.0001296435,0.000005864221,0.0000387183,0.00002860443,0.0001935272,0.9888621,0.0003402875,0.001206761,0.009055099],"study_design_scores_gemma":[0.000007616853,0.000119278,0.0004325068,0.00001234019,0.00001196547,0.00009121784,0.00003148126,0.001427995,0.9832405,0.00007846301,0.0145363,0.00001031299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244598,0.01635355,0.1125605,0.001683815,0.002610751,0.0004670369,0.001433768,0.00326939,0.03716144],"genre_scores_gemma":[0.8960591,0.006326452,0.05133779,0.0008897511,0.000237843,0.0001435178,0.0009904276,0.0006184316,0.04339663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005135948,"threshold_uncertainty_score":0.01718146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273371495541906,"score_gpt":0.2190855739007208,"score_spread":0.2063518589453017,"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."}}