{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01354507,0.0007633902,0.0005113819,0.0007958664,0.002070818,0.004492155,0.00262133,0.002685054,0.008751731],"category_scores_gemma":[0.04670457,0.000435295,0.0005470276,0.0003447974,0.004325376,0.003501072,0.008896399,0.002093552,0.001705274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244301,"about_ca_system_score_gemma":0.006429659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032357,"about_ca_topic_score_gemma":0.001056464,"domain_scores_codex":[0.9812707,0.01341367,0.0008874924,0.00189277,0.001857497,0.0006779062],"domain_scores_gemma":[0.9694594,0.01883471,0.002244463,0.004746069,0.001862922,0.002852455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009818928,0.001384657,0.03173859,0.0008807477,0.000392052,0.001664774,0.0165528,0.09880211,0.01323551,0.48325,0.01990839,0.3312085],"study_design_scores_gemma":[0.0002211208,0.0008234916,0.004625305,0.0003266904,0.0001124119,0.0009699494,0.004180014,0.1652215,0.006667515,0.7293406,0.08735856,0.0001529004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09144343,0.0007552613,0.8283284,0.01679792,0.0004407737,0.0009362993,0.0002029338,0.001488901,0.05960606],"genre_scores_gemma":[0.8709658,0.0003191463,0.1214427,0.001539668,0.0001369782,0.0005308022,0.0001724951,0.000096219,0.004796235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01354507,"threshold_uncertainty_score":0.07163399,"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."}}