{"id":"W4353032108","doi":"10.1080/14747731.2023.2190701","title":"How secondary states can take advantage of networks in world politics: the case of bridges and hubs","year":2023,"lang":"en","type":"article","venue":"Globalizations","topic":"International Development and Aid","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Agencia Nacional de Investigación y Desarrollo","keywords":"Relocation; Context (archaeology); Ideal (ethics); Politics; Position (finance); Ideal type; Sociology; Political science; Economic geography; Political economy; Economics; Computer science; Social science; Law; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004254937,0.0002647112,0.0002896117,0.001464724,0.00907797,0.008428737,0.0008719039,0.002263341,0.007171217],"category_scores_gemma":[0.005779011,0.0002592235,0.0004028484,0.001317721,0.0216905,0.01000239,0.008103245,0.002207782,0.0004515219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691804,"about_ca_system_score_gemma":0.001194575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375708,"about_ca_topic_score_gemma":0.007313786,"domain_scores_codex":[0.9967383,0.002165353,0.00003949466,0.0002432065,0.0002052736,0.0006084468],"domain_scores_gemma":[0.9974285,0.001523812,0.0002273055,0.000347457,0.0001345272,0.0003383937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001626068,0.00001742435,0.001454436,0.00001442702,0.000003906741,0.0003971281,0.04858679,0.0003959482,0.000189605,0.94469,0.0005196072,0.003714515],"study_design_scores_gemma":[0.00005142244,0.0001045876,0.004950542,0.0001729526,0.0000514322,0.0009266236,0.1516534,0.006132852,0.0009536912,0.7206756,0.1142838,0.00004312215],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5685121,0.0003800347,0.02237051,0.008262302,0.00006787787,0.00006525461,0.00002723581,0.00005064351,0.400264],"genre_scores_gemma":[0.9961668,0.00006023042,0.0005823,0.0001076803,0.000008651275,0.00001731755,0.000003874691,0.00000829897,0.003044776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00907797,"threshold_uncertainty_score":0.02399009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333712215706481,"score_gpt":0.2909074749947491,"score_spread":0.2775703528376843,"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."}}