{"id":"W4213127406","doi":"10.1016/j.clinsp.2022.100010","title":"Artificial intelligence in the medical profession: ready or not, here AI comes","year":2022,"lang":"en","type":"letter","venue":"Clinics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"International Association for the Study of Lung Cancer","keywords":"Medical profession; Artificial intelligence; Psychology; Data science; Computer science; Medicine; Medical education","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":[0.008226331,0.0007743465,0.001578716,0.001219404,0.008839506,0.01099483,0.00201337,0.1028096,0.01625315],"category_scores_gemma":[0.03237827,0.0009585909,0.001331443,0.001014143,0.007177402,0.01035082,0.003377205,0.07879755,0.01038124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006851119,"about_ca_system_score_gemma":0.01250923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01562749,"about_ca_topic_score_gemma":0.03359627,"domain_scores_codex":[0.9918052,0.002430138,0.0007293891,0.0008518039,0.003023636,0.001159773],"domain_scores_gemma":[0.9725206,0.01509312,0.00110478,0.0005502792,0.003873264,0.006857974],"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":[0.00003131271,0.00003264822,0.0003356446,0.00003298131,0.000007465055,0.0003790123,0.0001280086,0.00002995746,0.0001029617,0.006527888,0.9846779,0.007714244],"study_design_scores_gemma":[0.00008431444,0.00005368883,0.0008091949,0.0003656673,0.00001490939,0.0006701846,0.0009427873,0.0005738792,0.00009871647,0.02764212,0.968681,0.00006359485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006341655,0.0004457622,0.00004981791,0.993287,0.004412213,0.000003829387,0.00001026336,0.000006375489,0.00172128],"genre_scores_gemma":[0.00103172,0.0005566099,0.0001712706,0.9743902,0.01571843,0.00001535555,0.000007610484,0.00001261312,0.00809621],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1028096,"threshold_uncertainty_score":0.05437219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331058079359591,"score_gpt":0.4493380464892502,"score_spread":0.3162322385532911,"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."}}