{"id":"W4402406008","doi":"10.23889/ijpds.v9i5.2800","title":"Transparent reporting on multi-site studies about algorithms for linked health data: A systematic review of Health Data Research Network Canada’s Algorithms Inventory","year":2024,"lang":"en","type":"review","venue":"International Journal for Population Data Science","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Algorithm; Computer science; Data mining; Health data; Data science; Health care; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"reporting","study_design":"systematic_review","genre":"review","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"reporting","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1162333,0.0005519785,0.003846094,0.0008620422,0.003605443,0.0001832765,0.01084169,0.0002124427,0.00001268064],"category_scores_gemma":[0.04892088,0.0004110843,0.0002418888,0.001376693,0.0003029389,0.001526754,0.003724463,0.002383376,0.00001671459],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006051005,"about_ca_system_score_gemma":0.03942284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1538987,"about_ca_topic_score_gemma":0.3745623,"domain_scores_codex":[0.9732822,0.003285409,0.01493226,0.00225783,0.004537952,0.001704395],"domain_scores_gemma":[0.9678751,0.004168149,0.01740174,0.004900001,0.005067267,0.0005877097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001293225,0.00005830887,0.00007795332,0.7871302,0.0003618092,0.00001310742,0.0004529573,0.00003814212,1.35511e-8,0.0004101291,0.07287367,0.1385708],"study_design_scores_gemma":[0.00009394489,0.00009730697,0.00001309783,0.6799647,0.0003058948,0.00004309879,0.0007117102,0.04652381,1.05725e-8,0.0001418515,0.2718677,0.0002369414],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.873931e-7,0.9303836,0.007915179,0.005902431,0.01545402,0.01090421,0.02939598,0.00004066321,0.000003276244],"genre_scores_gemma":[0.00001548695,0.9559665,0.009744631,0.001328425,0.002420909,0.0005506295,0.02966401,0.0000912508,0.0002181466],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2206636,"threshold_uncertainty_score":0.9999182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9185031121271087,"score_gpt":0.7259421849331035,"score_spread":0.1925609271940052,"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."}}