{"id":"W2984501462","doi":"10.1080/08865655.2019.1685402","title":"Mapping International Co-authorship Networks in Border Studies (1986–2018)","year":2019,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fragmentation (computing); Regional science; Economic geography; Field (mathematics); Political science; Publishing; Preference; Social network analysis; Sociology; Geography; Law; Computer science; Economics; Social capital","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003008649,0.0002277992,0.0002218557,0.0182948,0.001068964,0.00298002,0.0005089151,0.0005803054,0.004850733],"category_scores_gemma":[0.01598741,0.0001536285,0.0003309027,0.01984268,0.0007226738,0.003933765,0.003332709,0.0004826139,0.000827667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337831,"about_ca_system_score_gemma":0.001357069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008838795,"about_ca_topic_score_gemma":0.01198192,"domain_scores_codex":[0.998184,0.0004865662,0.0002695423,0.0003790426,0.0003276273,0.0003532058],"domain_scores_gemma":[0.984813,0.00449068,0.006246032,0.0009966942,0.002074744,0.00137868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005382923,0.0001009255,0.8235794,0.0009790946,0.0001676686,0.001163694,0.04517163,0.001705381,0.00164087,0.01524772,0.01215672,0.09754847],"study_design_scores_gemma":[0.00001304926,0.00004477292,0.9116507,0.00045783,0.00005224804,0.0006458923,0.02592087,0.001732219,0.0007193352,0.003062843,0.05567368,0.00002651972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615393,0.003972932,0.002238283,0.0005588178,0.00006486027,0.00007168813,0.006923227,0.00005363671,0.02457732],"genre_scores_gemma":[0.9897345,0.001232191,0.001723441,0.00003131349,0.00004181218,0.00009192738,0.004758229,0.00003115169,0.002355518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9817052,"threshold_uncertainty_score":0.01757473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067054048063275,"score_gpt":0.4388655227884887,"score_spread":0.3718114747252137,"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."}}