{"id":"W4394527370","doi":"10.6084/m9.figshare.7518863","title":"Visibility of studies in social network analysis in South America: Its evolution and metrics from 1990 to 2013","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Education and Digital Technologies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visibility; Social network analysis; Geography; Computer science; Economic geography; Cartography; Genealogy; History; World Wide Web; Social media; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001976491,0.0001263981,0.0004471376,0.0006000804,0.0001118425,0.00004361702,0.0002968912,0.000265732,0.003522859],"category_scores_gemma":[0.01208514,0.0001256837,0.00006705424,0.004504867,0.00009182059,0.0001128418,0.0002721566,0.0001577918,0.0001436684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381729,"about_ca_system_score_gemma":0.0001412345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004838163,"about_ca_topic_score_gemma":0.0381546,"domain_scores_codex":[0.9987543,0.0001246074,0.0002993656,0.0003348432,0.0002652779,0.0002215726],"domain_scores_gemma":[0.9988932,0.0003504104,0.000252398,0.0001972567,0.000263653,0.0000430873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003653937,0.00002918674,0.002282572,0.00004462343,0.00004956442,4.863613e-7,0.002449731,0.000007232763,1.711082e-8,0.000003057962,0.9949725,0.0001573963],"study_design_scores_gemma":[0.00008673834,0.00003355977,0.05193283,0.0004400321,0.00007567352,7.306554e-9,0.01368261,0.000007114886,6.532785e-7,0.0007082474,0.93279,0.0002425598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002785605,0.002001303,1.750072e-7,0.0001253252,0.0000917861,0.0002248501,0.9946961,0.00002484174,0.00005002416],"genre_scores_gemma":[0.03450425,0.0001123654,0.00004075266,0.00004986976,0.0002502281,0.00007079642,0.9649467,0.000003237663,0.00002172812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0621825,"threshold_uncertainty_score":0.9973881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530181902349003,"score_gpt":0.4096951387292924,"score_spread":0.256676948494392,"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."}}