{"id":"W4404331881","doi":"10.1080/08839514.2024.2423326","title":"Remote Assistance for Bone-Fractured Patients using Deep Learning Models","year":2024,"lang":"en","type":"article","venue":"Applied Artificial Intelligence","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Machine learning; Data science","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":[0.000203754,0.0001780781,0.0002088652,0.0001130117,0.0001308869,0.0001546702,0.0001338953,0.00008552786,0.00004597866],"category_scores_gemma":[0.00006019732,0.0001730562,0.0001079323,0.0003410561,0.00005187728,0.0001168308,0.00002088942,0.0002942129,0.00006813435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007141099,"about_ca_system_score_gemma":0.00001341986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001542125,"about_ca_topic_score_gemma":0.00000737676,"domain_scores_codex":[0.9987509,0.00001075609,0.0003695204,0.0003139938,0.0002196048,0.0003352452],"domain_scores_gemma":[0.9995158,0.0001449152,0.00002903353,0.000158892,0.00004875071,0.0001025631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006903458,0.00001158725,0.000003618528,0.00009305189,0.00004063291,0.000003067925,0.0004371717,0.4528766,0.004524804,0.006409303,0.00007068202,0.5355226],"study_design_scores_gemma":[0.00001287684,0.000006716431,0.000001546948,0.00006125326,0.00004846549,4.534689e-7,0.00009997779,0.9463025,0.01365086,0.03686078,0.002758861,0.0001956836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02504628,0.0007716453,0.9714561,0.00003739357,0.0004206949,0.0001558631,0.000004888532,0.0004618174,0.001645345],"genre_scores_gemma":[0.9855393,0.00004870383,0.01399239,0.0000501844,0.000220393,0.00001267309,0.0000234773,0.00005016616,0.00006267771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9604931,"threshold_uncertainty_score":0.7057028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04594723871885806,"score_gpt":0.2796094521488246,"score_spread":0.2336622134299665,"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."}}