{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007357192,0.0003911226,0.0005501812,0.00009032561,0.001100317,0.0003042831,0.0001367263,0.0001698493,0.00005768868],"category_scores_gemma":[0.0001332731,0.0003876926,0.0001368232,0.000140348,0.0001808041,0.0001422369,0.0001581561,0.000311185,0.000001329959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114752,"about_ca_system_score_gemma":0.0001499189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007145362,"about_ca_topic_score_gemma":0.0001684361,"domain_scores_codex":[0.9978415,0.0002047332,0.0005652712,0.000668167,0.0002091458,0.0005111367],"domain_scores_gemma":[0.998924,0.0003446893,0.0001571305,0.0002655575,0.0001754944,0.0001330988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00140463,0.0006705262,0.005669751,0.008443082,0.0009812833,0.0000426704,0.04594864,0.2684307,0.60768,0.006324692,0.0006841544,0.05371992],"study_design_scores_gemma":[0.002045299,0.001555608,0.01273001,0.0002390884,0.0004166386,0.00007230384,0.01810131,0.8976749,0.0482897,0.003241258,0.01387182,0.001762066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920205,0.0005976681,0.002270286,0.0008449401,0.002650582,0.0009130773,0.0001690822,0.0001900151,0.0003438753],"genre_scores_gemma":[0.9976358,0.0001955049,0.001521131,0.00006285168,0.0002348551,0.00006516692,0.00005227096,0.00004066456,0.0001917038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6292443,"threshold_uncertainty_score":0.9998575,"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."}}