{"id":"W6930344830","doi":"10.5281/zenodo.13334396","title":"Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban Development","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Urban planning; Sand mining; Urbanization; Assemblage (archaeology); Urban area","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":[],"consensus_categories":[],"category_scores_codex":[0.0006482358,0.001000369,0.0005614019,0.003253614,0.0005376242,0.001317986,0.001111779,0.001198255,0.01532089],"category_scores_gemma":[0.003159237,0.0004170565,0.0009516031,0.004974916,0.0003362069,0.0005782535,0.001530035,0.0008465649,0.01356817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007241971,"about_ca_system_score_gemma":0.001138294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08241767,"about_ca_topic_score_gemma":0.1544597,"domain_scores_codex":[0.9995326,0.00007105396,0.00004015383,0.0001060419,0.0001179232,0.0001322232],"domain_scores_gemma":[0.9990824,0.0002484687,0.0001324358,0.0001647746,0.0002577174,0.0001141151],"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":[0.0001345448,0.00004850319,0.01253885,0.0006988643,0.00009102652,0.00009915299,0.0002222993,0.001356325,0.0004523489,0.0006290565,0.9762007,0.007528368],"study_design_scores_gemma":[0.000206287,0.00002352321,0.1448143,0.00050268,0.0000652784,0.0001600571,0.0009059051,0.001613776,0.0008805636,0.0008762762,0.8498894,0.00006203707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003692036,0.0001107568,0.00007751407,0.0001840914,0.00003812112,0.00000966289,0.9945017,0.0001822652,0.001203814],"genre_scores_gemma":[0.00519171,0.0001011608,0.0002705392,0.0000443118,0.00001072632,0.00004035443,0.9925758,0.00004329613,0.001722274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08241767,"threshold_uncertainty_score":0.1638759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07211261860109892,"score_gpt":0.3542674402588874,"score_spread":0.2821548216577885,"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."}}