{"id":"W7116931153","doi":"10.21203/rs.3.rs-8338990/v1","title":"The SMART-OR Framework for Implementing Artificial Intelligence in the Operating Room","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Snowball sampling; Thematic analysis; Workflow; Focus group; Stakeholder; Qualitative research; Software deployment; Sociotechnical system; Nonprobability sampling","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":[0.00275786,0.0009723697,0.0008092533,0.0006054594,0.0008055469,0.003883648,0.003331244,0.001826904,0.0254638],"category_scores_gemma":[0.004455781,0.0008235133,0.001655929,0.0005094233,0.001868387,0.004859668,0.00452173,0.002281285,0.006784034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007443762,"about_ca_system_score_gemma":0.001825284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902286,"about_ca_topic_score_gemma":0.003545573,"domain_scores_codex":[0.9975055,0.0006356401,0.0001770512,0.0003422733,0.0009611014,0.0003785549],"domain_scores_gemma":[0.9986777,0.000417671,0.00009488458,0.0004957611,0.0001722428,0.000141664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00157368,0.0004269739,0.002161725,0.00131587,0.0002205388,0.0006164215,0.0009407726,0.06264824,0.01862432,0.5065582,0.06911788,0.3357954],"study_design_scores_gemma":[0.000296722,0.000253758,0.0007158818,0.000281634,0.000165915,0.0003727648,0.000245794,0.4267587,0.033169,0.2470386,0.2905733,0.0001278736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00289362,0.0001683292,0.9532061,0.0004028688,0.0001484314,0.0002352377,0.0003200664,0.02896851,0.01365679],"genre_scores_gemma":[0.1459529,0.0006338732,0.8176535,0.0008654068,0.0001482382,0.000557019,0.001819976,0.005408912,0.02696018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0254638,"threshold_uncertainty_score":0.08518487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4958184720085665,"score_gpt":0.6029190071416423,"score_spread":0.1071005351330757,"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."}}