{"id":"W2780271623","doi":"","title":"Sensitive Humidity Sensor Integrated to a Flip-Chip Package for Moisture Detection in Electronics Package","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Flip chip; Humidity; Electronics; Electronic packaging; Chip; Moisture; Integrated circuit packaging; Quad Flat No-leads package; System in package; Chip-scale package; Computer science; Electronic engineering; Materials science; Electrical engineering; Engineering; Telecommunications; Nanotechnology; Physics","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":[0.002396189,0.0005034012,0.0005732873,0.0004943098,0.0003066347,0.0003484152,0.001303695,0.0007181911,0.00001177253],"category_scores_gemma":[0.00662044,0.0005659478,0.0002079767,0.0004427303,0.0001898782,0.0001388619,0.0008914442,0.002076516,0.00003016609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009285962,"about_ca_system_score_gemma":0.0001620292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004878173,"about_ca_topic_score_gemma":0.01870181,"domain_scores_codex":[0.9961604,0.00131258,0.0004943765,0.0008828592,0.0003632584,0.000786503],"domain_scores_gemma":[0.993944,0.001127314,0.0002317429,0.002882344,0.001639446,0.0001751315],"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":[0.0001139139,0.0002880218,0.0002490451,0.0006150329,0.0002011395,0.00005054649,0.005368249,0.006396179,0.688499,0.004676681,0.0005465996,0.2929955],"study_design_scores_gemma":[0.0004673765,0.000001904452,0.001112466,0.0008649661,0.00001974406,0.000008129798,0.0002867579,0.03561887,0.9510667,0.00316056,0.006797478,0.0005951044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4182175,0.0003625191,0.5715298,0.00180526,0.0002397917,0.001676771,0.0003281768,0.001041508,0.004798688],"genre_scores_gemma":[0.9592813,0.0005014256,0.03763137,0.00002390967,0.00002539315,0.0003343872,0.0004171841,0.0001310584,0.001653996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5410638,"threshold_uncertainty_score":0.9996792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876741835916169,"score_gpt":0.2635292895356222,"score_spread":0.2447618711764605,"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."}}