{"id":"W4412841080","doi":"10.1609/aaaiss.v6i1.36060","title":"Human-Clinical AI Agent Collaboration","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Symposium Series","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006663489,0.0001378057,0.0002336956,0.00009283371,0.0003438519,0.0002307797,0.001465859,0.0001016011,0.000006747242],"category_scores_gemma":[0.0002911445,0.0001049564,0.00009752828,0.0008596996,0.0001396242,0.0007220304,0.0007525388,0.0003086224,0.000008365654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005561541,"about_ca_system_score_gemma":0.0001537668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004064801,"about_ca_topic_score_gemma":0.0000112903,"domain_scores_codex":[0.9985871,0.0000374503,0.0005150672,0.0003536676,0.0002955302,0.0002111502],"domain_scores_gemma":[0.9986272,0.00004925448,0.0002995639,0.0003211171,0.0006532919,0.00004955372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002447026,0.00008635823,0.1457958,0.000479972,0.00004288698,4.083405e-7,0.001918002,0.0000486149,0.01860865,0.8012943,0.03084912,0.0008513478],"study_design_scores_gemma":[0.002372496,0.001817883,0.3629222,0.001729847,0.000189158,0.0000474276,0.001505509,0.0158682,0.1916568,0.1333702,0.2870708,0.00144955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6107613,0.0003125908,0.001075568,0.321265,0.003942178,0.001198979,0.000005642506,0.0006204372,0.06081838],"genre_scores_gemma":[0.985694,0.00002967208,0.004032618,0.001849473,0.0001111538,0.00003542797,5.777109e-7,0.000009816831,0.008237293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6679242,"threshold_uncertainty_score":0.4279997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435561920900557,"score_gpt":0.3358554955921447,"score_spread":0.3214998763831391,"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."}}