{"id":"W4405381253","doi":"10.20517/ais.2024.69","title":"Clinical deployment of machine learning models in craniofacial surgery: considerations for adoption and implementation","year":2024,"lang":"en","type":"article","venue":"Artificial Intelligence Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation","funders":"","keywords":"Software deployment; Craniofacial surgery; Craniofacial; Computer science; Medicine; Software engineering","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":[0.1094186,0.0006788552,0.001113945,0.001594472,0.001328621,0.01057269,0.005807981,0.006933091,0.008780424],"category_scores_gemma":[0.3184845,0.0007999875,0.001508146,0.001584167,0.005969226,0.009472232,0.006323487,0.009781044,0.003397785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005806459,"about_ca_system_score_gemma":0.01689474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009410349,"about_ca_topic_score_gemma":0.01325768,"domain_scores_codex":[0.9240481,0.05879477,0.003829011,0.002008337,0.01041042,0.0009093744],"domain_scores_gemma":[0.7434922,0.2021633,0.005216793,0.01612898,0.02962821,0.00337037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003587043,0.0001872779,0.006987498,0.002797871,0.0002156927,0.0006239978,0.003287121,0.01875962,0.0007541471,0.1968241,0.1146998,0.6545041],"study_design_scores_gemma":[0.0002033291,0.0007054517,0.003797885,0.02207947,0.0001983782,0.001077961,0.003936411,0.04497232,0.00205274,0.3305055,0.5901518,0.0003188423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.005628244,0.03617765,0.1353581,0.7956647,0.00554968,0.0003490529,0.0005175239,0.0007502254,0.02000491],"genre_scores_gemma":[0.2838237,0.09939192,0.4838805,0.1158988,0.008265482,0.001637336,0.001375458,0.001021191,0.004705673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1094186,"threshold_uncertainty_score":0.5786677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4314351839765875,"score_gpt":0.4902099819919613,"score_spread":0.05877479801537372,"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."}}