{"id":"W4392372617","doi":"10.1007/s12553-024-00836-9","title":"Dr. GPT will see you now: the ability of large language model-linked chatbots to provide colorectal cancer screening recommendations","year":2024,"lang":"en","type":"article","venue":"Health and Technology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"IDELIX Software (Canada); McMaster University","funders":"","keywords":"Cancer; Colorectal cancer; Medicine; Computer science; Internal medicine","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":[0.0003878051,0.0001099512,0.0002540661,0.0002461679,0.0001673514,0.00001089886,0.00006802932,0.0001419899,0.00003031014],"category_scores_gemma":[0.0001452898,0.0000812771,0.00004000274,0.0006902994,0.00008494269,0.00005006154,0.0000811015,0.0003885296,0.000003413958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160072,"about_ca_system_score_gemma":0.0003679858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005580011,"about_ca_topic_score_gemma":0.001814033,"domain_scores_codex":[0.9989764,0.0000347765,0.0002663189,0.0003065539,0.0001113025,0.0003046091],"domain_scores_gemma":[0.9994494,0.00006521768,0.00006155171,0.0002095934,0.00007724245,0.0001370403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002178953,0.0001632831,0.01009716,0.001265091,0.0001516669,0.00001484662,0.006956542,0.00007359529,0.01471858,0.003866192,0.01009259,0.9504215],"study_design_scores_gemma":[0.006388907,0.02076485,0.03153838,0.003775972,0.0003772567,0.000648624,0.01454064,0.3780087,0.02928507,0.005774631,0.5077228,0.001174145],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438894,0.00644455,0.009812072,0.1381412,0.0002085102,0.0008513283,0.00008618892,0.0004029077,0.000163942],"genre_scores_gemma":[0.9964693,0.0003424324,0.001533875,0.001077447,0.00007768822,0.0002390263,0.00001813091,0.00001615062,0.0002259652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9492474,"threshold_uncertainty_score":0.3314384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152960530507397,"score_gpt":0.3489072310691309,"score_spread":0.3273776257640569,"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."}}