{"id":"W6958304234","doi":"10.6084/m9.figshare.20291030.v1","title":"Additional file 5 of Burden of female breast cancer in the Middle East and North Africa region, 1990–2019","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Middle East; Checklist; Breast cancer; Table (database); Public health; Low and middle income countries","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001372579,0.0006982553,0.0007987783,0.002440381,0.0005040899,0.0008255497,0.001296758,0.0006246203,0.7563958],"category_scores_gemma":[0.02093679,0.0004115838,0.0008621378,0.006083934,0.0001559117,0.001481137,0.0009094662,0.0006548848,0.06956282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318186,"about_ca_system_score_gemma":0.00199926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0377682,"about_ca_topic_score_gemma":0.03716644,"domain_scores_codex":[0.9992318,0.0001668022,0.000186568,0.0001343297,0.0001596649,0.0001209515],"domain_scores_gemma":[0.9917411,0.00495992,0.0009947261,0.0003386589,0.001722449,0.0002431628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001439888,0.00003494182,0.003233791,0.002194457,0.0000474428,0.00003572595,0.00005382859,0.0003645277,0.00002379126,0.0006875409,0.987214,0.005966097],"study_design_scores_gemma":[0.004836829,0.0002763078,0.1148553,0.008827837,0.0003397477,0.0005833461,0.0009675503,0.002001672,0.0004574844,0.007040367,0.8596643,0.0001493349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000117027,0.00001726654,0.00004367595,0.00006512087,0.00001179143,0.00003953134,0.9989197,0.00003350387,0.0007523978],"genre_scores_gemma":[0.01003669,0.0002861198,0.001214247,0.0003609578,0.00008589015,0.001369789,0.9775161,0.0001636687,0.008966628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7563958,"threshold_uncertainty_score":0.3474718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08333857063874656,"score_gpt":0.2464591611945577,"score_spread":0.1631205905558111,"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."}}