{"id":"W7117465056","doi":"10.1109/mcas.2025.3614512","title":"WiCAS Events Report—IEEE ISCAS 2025 [CASS Conference Highlights]","year":2025,"lang":"","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Simon Fraser University","funders":"","keywords":"Milestone; Excellence; Session (web analytics); Empowerment; Corporate governance; Center of excellence","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":[0.0005221631,0.0009015948,0.001432655,0.0005460222,0.0003589819,0.000353487,0.0007178172,0.0007716712,0.00007499992],"category_scores_gemma":[0.0002162786,0.0008634648,0.0001721141,0.0008931587,0.0002761129,0.0007018673,0.0001836752,0.0007562651,0.0003137236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410142,"about_ca_system_score_gemma":0.0002015805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007800983,"about_ca_topic_score_gemma":0.00003651496,"domain_scores_codex":[0.9952585,0.0001086064,0.001771016,0.001301914,0.0004930444,0.001066917],"domain_scores_gemma":[0.9969753,0.0002010267,0.0004343735,0.001767071,0.0003675964,0.0002546067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001107022,0.0007792762,0.007010791,0.01829094,0.003740383,0.008654,0.0009862181,0.01376548,0.1986198,0.2936756,0.3241349,0.1302319],"study_design_scores_gemma":[0.003657429,0.000383316,0.008254343,0.007045399,0.0007334989,0.001922865,0.0008869521,0.03865082,0.01048091,0.004713354,0.9202772,0.00299395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1952065,0.06819671,0.5590892,0.002151178,0.05490386,0.004694835,0.001200907,0.003324716,0.111232],"genre_scores_gemma":[0.9570122,0.005877852,0.00009604096,0.00004885986,0.0004354413,0.0001218488,0.00006308252,0.00007613544,0.03626849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7618057,"threshold_uncertainty_score":0.9993816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167813794614033,"score_gpt":0.2741714621240969,"score_spread":0.2424933241779566,"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."}}