{"id":"W7019579372","doi":"","title":"Hardly neutral players: Australia&amp;#039;s role in liberalising trade in education services","year":2003,"lang":"en","type":"article","venue":"RMIT Research Repository (RMIT University Library)","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberalization; Opposition (politics); Flagging; Free trade; Subsidy; Higher education; Quality (philosophy); Competition (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006919001,0.0002183565,0.000219137,0.0008277087,0.007435116,0.01304636,0.0009738379,0.005054523,0.01555966],"category_scores_gemma":[0.00962109,0.0002856426,0.0003159591,0.001155801,0.008316176,0.007591425,0.00682498,0.007834521,0.001364099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009006914,"about_ca_system_score_gemma":0.01823393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05863924,"about_ca_topic_score_gemma":0.08381202,"domain_scores_codex":[0.994436,0.001863759,0.0001229253,0.0005217039,0.001736262,0.00131928],"domain_scores_gemma":[0.9930915,0.002337697,0.0005487283,0.000339857,0.00143175,0.002250513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006857247,0.0001046513,0.004494381,0.0002583962,0.00001537481,0.0008492058,0.02899235,0.0002659361,0.00153063,0.8702834,0.04013349,0.05300362],"study_design_scores_gemma":[0.00001739317,0.0001186213,0.01291522,0.0007026158,0.00002035079,0.000375955,0.03082608,0.0009390071,0.0009723383,0.06748181,0.8855754,0.0000551611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1599518,0.006777214,0.003808433,0.3922012,0.001694437,0.00008477462,0.000111922,0.00005853363,0.4353117],"genre_scores_gemma":[0.7648978,0.004641981,0.001785831,0.0796727,0.0005203804,0.00005345155,0.00004768691,0.00007401731,0.1483062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05863924,"threshold_uncertainty_score":0.1165958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034234878488449,"score_gpt":0.3376418858719232,"score_spread":0.2972995370870387,"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."}}