{"id":"W4224229663","doi":"10.1186/s12880-022-00798-2","title":"Characterizing and quantifying low-value diagnostic imaging internationally: a scoping review","year":2022,"lang":"en","type":"review","venue":"BMC Medical Imaging","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Norges Forskningsråd","keywords":"Computer science; Value (mathematics); Data science; Medical imaging; Medical physics; Medicine; Artificial intelligence; Machine learning","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02834288,0.001830931,0.007490142,0.04881863,0.00139814,0.00685693,0.00333685,0.003434299,0.004578817],"category_scores_gemma":[0.1650982,0.001808039,0.007127504,0.03906353,0.002441668,0.006137175,0.00366421,0.001709781,0.0005966515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006908253,"about_ca_system_score_gemma":0.02395551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175307,"about_ca_topic_score_gemma":0.02211051,"domain_scores_codex":[0.9706625,0.008562239,0.01389282,0.001419695,0.004915162,0.0005474593],"domain_scores_gemma":[0.7943358,0.1662376,0.02319254,0.002500072,0.01307882,0.0006551733],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007808855,0.00001857603,0.00123611,0.9173254,0.002671227,0.0001560627,0.0007179173,0.0001489335,0.0001143562,0.0007214507,0.001953921,0.074858],"study_design_scores_gemma":[0.00001490714,0.00002941958,0.001332914,0.979365,0.00720395,0.0001870068,0.0003797131,0.00004588054,0.00006846092,0.0002643806,0.01109284,0.0000155581],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000986885,0.9962175,0.0003786016,0.0005166659,0.0001541251,0.000513045,0.000497673,0.000009055083,0.0007263668],"genre_scores_gemma":[0.00823964,0.9887622,0.001223143,0.0004075232,0.00009753813,0.0008069029,0.000352525,0.00000808236,0.0001024601],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9716571,"threshold_uncertainty_score":0.1498933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6908631566959148,"score_gpt":0.6274841181132064,"score_spread":0.06337903858270844,"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."}}