{"id":"W2403277083","doi":"10.1177/0020702015609358","title":"Canadian scholarship on international relations: Unified, divided or diverse?","year":2016,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Toronto; McGill University","keywords":"Scholarship; Diversity (politics); International relations; Value (mathematics); Sociology; Political science; State (computer science); Work (physics); Focus (optics); Social science; Library science; Law; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01574595,0.0005112308,0.001373837,0.02038137,0.02747597,0.03461779,0.002581695,0.00261445,0.005487021],"category_scores_gemma":[0.06226117,0.0004401329,0.0003477245,0.0505337,0.0390964,0.01068396,0.01175642,0.004306966,0.0003115845],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1359872,"about_ca_system_score_gemma":0.2118584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9447323,"about_ca_topic_score_gemma":0.9716142,"domain_scores_codex":[0.9702167,0.003967234,0.0009976489,0.001988401,0.01718698,0.005642945],"domain_scores_gemma":[0.9620977,0.009766642,0.003621103,0.002840263,0.01385337,0.007820809],"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":[0.00005257463,0.00002635686,0.02254716,0.0004154117,0.00005010175,0.0001852319,0.1115315,0.0002448508,0.0001630164,0.7266414,0.03668401,0.1014584],"study_design_scores_gemma":[0.00003188151,0.0000364122,0.0938548,0.003511036,0.0001148494,0.0002446626,0.3895254,0.0007944718,0.0002265994,0.1429878,0.3684848,0.0001872729],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1993244,0.06424994,0.002872,0.3298403,0.001807565,0.0001362286,0.001311958,0.00009175769,0.4003658],"genre_scores_gemma":[0.9706678,0.01556777,0.001545159,0.007583724,0.0002678719,0.00004161092,0.0003407689,0.00003960422,0.003945783],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9796186,"threshold_uncertainty_score":0.986661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370715638983987,"score_gpt":0.3343563713111667,"score_spread":0.3106492149213269,"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."}}