{"id":"W4399567230","doi":"10.1145/3650105","title":"Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering","year":2024,"lang":"en","type":"paratext","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; National Natural Science Foundation of China; Ant Group; National Security Agency; National Science Foundation","keywords":"Computer science; Foundation (evidence); Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.008387022,0.001630269,0.001685627,0.002771875,0.001384985,0.00689279,0.002497183,0.002594236,0.177262],"category_scores_gemma":[0.01370415,0.0006405071,0.001121494,0.002493591,0.001295003,0.006352545,0.004403881,0.004629406,0.06892558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002609385,"about_ca_system_score_gemma":0.004949258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685257,"about_ca_topic_score_gemma":0.007959498,"domain_scores_codex":[0.9955665,0.001403111,0.0002422099,0.0004141163,0.002023432,0.0003505774],"domain_scores_gemma":[0.988107,0.003986556,0.0003267786,0.001275398,0.003695296,0.00260913],"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":[0.0000531028,0.00008249814,0.0002889401,0.0002623103,0.00002706441,0.00007669868,0.00008802281,0.0003391471,0.0005196269,0.004544936,0.9039125,0.08980526],"study_design_scores_gemma":[0.00001458293,0.0000323364,0.000439682,0.0001999418,0.00001169298,0.0001089206,0.00008253195,0.00160363,0.0002973184,0.004331285,0.9928631,0.00001498613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009904653,0.0635003,0.1875155,0.08169889,0.1769625,0.001397735,0.01145041,0.0093214,0.4582486],"genre_scores_gemma":[0.01857425,0.02656655,0.04248013,0.006043111,0.01511107,0.0006821887,0.02339704,0.003697104,0.8634484],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.177262,"threshold_uncertainty_score":0.5930004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2042061880479731,"score_gpt":0.4612063215039524,"score_spread":0.2570001334559793,"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."}}