{"id":"W6901909336","doi":"10.6084/m9.figshare.20291036.v1","title":"Additional file 7 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; Breast cancer; Incidence (geometry); Cancer incidence; Table (database); Far East","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":[0.001126967,0.0007472389,0.00087182,0.002461075,0.0005336863,0.001014545,0.001381473,0.0006661044,0.7602661],"category_scores_gemma":[0.0158603,0.0005006763,0.0008837946,0.006500647,0.0001635222,0.00153549,0.001003797,0.0007041674,0.09580772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288153,"about_ca_system_score_gemma":0.0021607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04471425,"about_ca_topic_score_gemma":0.04938141,"domain_scores_codex":[0.9992698,0.0001258814,0.0001654057,0.0001235129,0.0001683139,0.0001470443],"domain_scores_gemma":[0.9933908,0.003443842,0.0008165538,0.0003177546,0.001748064,0.0002830732],"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":[0.0001206648,0.00003110989,0.003271287,0.001877905,0.00004720117,0.00003725238,0.00004926397,0.0002928489,0.00002496833,0.0004778877,0.9892608,0.004508899],"study_design_scores_gemma":[0.004248441,0.0002161699,0.1172807,0.006843163,0.0002864091,0.0005590342,0.0009152405,0.001519394,0.0003828771,0.004844077,0.8627674,0.0001370198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00008484408,0.0000129127,0.00001974548,0.0000501486,0.000007988326,0.00002357982,0.9992112,0.00002980515,0.0005597093],"genre_scores_gemma":[0.006256024,0.0002125658,0.0006140193,0.0002648383,0.00006457327,0.0008849099,0.9850044,0.0001432107,0.006555341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7602661,"threshold_uncertainty_score":0.3419513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08343074954789971,"score_gpt":0.246518310850226,"score_spread":0.1630875613023263,"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."}}