{"id":"W4411233835","doi":"10.1109/chase66643.2025.00005","title":"Message from the General Chair and Program Co-Chairs: CHASE 2025","year":2025,"lang":"en","type":"article","venue":"","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Chase; Programming language; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00387543,0.0007702543,0.0008259187,0.0006563099,0.002917184,0.004292333,0.001311805,0.009369361,0.1480841],"category_scores_gemma":[0.01182187,0.0004544875,0.0007239308,0.0005003986,0.0007884165,0.002108333,0.002963271,0.01148336,0.08136641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003032476,"about_ca_system_score_gemma":0.01238339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199833,"about_ca_topic_score_gemma":0.03582628,"domain_scores_codex":[0.9981628,0.0002986182,0.00007436477,0.0002570251,0.0008600536,0.0003470861],"domain_scores_gemma":[0.9865347,0.0008664489,0.000277736,0.000205247,0.005859079,0.006256808],"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":[0.00002060495,0.00001050876,0.00006731388,0.00001627257,9.575344e-7,0.00001395683,0.000006706318,0.000007121777,0.00003660361,0.0001411093,0.9973702,0.002308708],"study_design_scores_gemma":[0.00002928297,0.00004203081,0.0006605669,0.00006215859,0.000004043974,0.0000412814,0.0001494341,0.00005957739,0.000100184,0.0002371743,0.9986019,0.00001236069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000767621,0.001779262,0.0008550612,0.6603927,0.2979525,0.0003195367,0.0009788503,0.0004615545,0.03649301],"genre_scores_gemma":[0.005254359,0.001428485,0.0009876126,0.4461585,0.03665619,0.0004398266,0.001043869,0.000336755,0.5076944],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1480841,"threshold_uncertainty_score":0.4953907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100911195169122,"score_gpt":0.4961048492872641,"score_spread":0.3951936541181421,"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."}}