{"id":"W4376608572","doi":"10.1097/gox.0000000000004985","title":"Smartphone Integration of Artificial Intelligence for Automated Plagiocephaly Diagnosis","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University Health Centre; McGill University","funders":"Mitacs","keywords":"Medicine; Plagiocephaly; Craniofacial; Pediatrics; Microsoft excel; Prospective cohort study; Craniofacial abnormality; Hydrocephalus; Craniosynostosis; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001686938,0.0001699921,0.0003021625,0.00006445942,0.00009333088,0.00005019111,0.0001863147,0.0001142471,0.00004417137],"category_scores_gemma":[0.0009909031,0.0001623231,0.000151874,0.0003987176,0.0001315217,0.00001514945,0.0001281537,0.00003058122,0.00003203588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003213113,"about_ca_system_score_gemma":0.000152225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002286178,"about_ca_topic_score_gemma":0.000325805,"domain_scores_codex":[0.9988668,0.00004615506,0.0003822607,0.0003621291,0.0001011325,0.0002415412],"domain_scores_gemma":[0.9991185,0.0003186175,0.0001650453,0.0001606126,0.0001700233,0.00006719144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002555901,0.0006467394,0.3052925,0.00009075577,0.000996862,0.00001815566,0.0001352717,0.0005617159,0.01992551,0.005712172,0.01498246,0.6490819],"study_design_scores_gemma":[0.002414673,0.002141206,0.4449106,0.0006248635,0.00060065,0.0001064843,0.00471673,0.01940815,0.4663975,0.0522951,0.00393422,0.002449821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900091,0.00005821466,0.006636611,0.00004018969,0.0009507323,0.0005855366,0.001318021,0.00005057544,0.0003510622],"genre_scores_gemma":[0.9976555,0.00009354896,0.001133999,0.00001847317,0.000047471,0.0002274773,0.0007914728,0.00001318779,0.00001889004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6466321,"threshold_uncertainty_score":0.6619344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830928734309502,"score_gpt":0.3172555132539184,"score_spread":0.2789462259108234,"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."}}