{"id":"W2994953827","doi":"10.5555/1480-6800.22.1.150","title":"Arid Environment and Rock Mineral Content as a Catalyst for Higher Vulnerability to Cancer Morbidity in the Northern State of Sudan","year":2019,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arid; Mineral; Vulnerability (computing); Work (physics); State (computer science); Catalysis; Natural resource economics; Environmental science; Chemistry; Geochemistry; Geology; Physics; Economics; Mathematics; Paleontology; Biochemistry; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698425,0.00008764162,0.00009655509,0.0006313499,0.0009518135,0.0005649495,0.000141988,0.0001391964,0.001450441],"category_scores_gemma":[0.0006199122,0.00008474103,0.000157848,0.0007432966,0.0003393308,0.0002078688,0.0006299216,0.0003076345,0.00006392502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072666,"about_ca_system_score_gemma":0.001068698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05841284,"about_ca_topic_score_gemma":0.1071178,"domain_scores_codex":[0.9998353,0.00006809277,0.000008353373,0.00001284033,0.00001355802,0.00006182935],"domain_scores_gemma":[0.9997364,0.00003607197,0.0001120735,0.00001083726,0.00002369697,0.00008099454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001864384,0.0000205589,0.9967417,0.000004689093,0.0000167593,0.0001613407,0.0004601398,0.00004799355,0.0002232547,0.0001967296,0.00008649762,0.002021651],"study_design_scores_gemma":[0.000001442705,0.00001748849,0.99663,0.000009394495,0.00001597516,0.0001662225,0.00240869,0.0001305864,0.00006670171,0.0001336494,0.0004176076,0.000002257822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989949,0.0001000467,0.00001650381,0.0002381877,0.000002895885,0.000001593424,0.00004914812,7.264264e-7,0.0005959922],"genre_scores_gemma":[0.9997481,0.0000776714,0.00001537185,0.00002314537,0.000003249842,7.615726e-7,0.00001793725,3.581093e-7,0.0001135501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05841284,"threshold_uncertainty_score":0.1161457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852021894436584,"score_gpt":0.2371454725349497,"score_spread":0.2186252535905839,"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."}}