{"id":"W2188965651","doi":"10.22215/cjers.v7i2.2469","title":"Rethinking the Open Method of Coordination: Mutual Learning Initiatives Shaping the European Research Enterprise","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of European and Russian Studies","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Political science; European commission; Policy learning; Foundation (evidence); Member states; Collaborative learning; Process (computing); Public administration; Public relations; Sociology; Business; Pedagogy; International trade; Computer science; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1950636,0.0008819506,0.001253183,0.007060121,0.01743208,0.03469865,0.004189431,0.01089456,0.004181874],"category_scores_gemma":[0.158836,0.001035136,0.001333898,0.005406603,0.09756046,0.03276103,0.04570964,0.0101269,0.0006702282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920697,"about_ca_system_score_gemma":0.04186586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006267422,"about_ca_topic_score_gemma":0.00507637,"domain_scores_codex":[0.7392117,0.2224189,0.005041134,0.01100977,0.01598713,0.006331326],"domain_scores_gemma":[0.8209627,0.134877,0.008656394,0.01990834,0.008025188,0.007570472],"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":[0.00002529092,0.0000238618,0.0005432734,0.00007013427,0.00001447207,0.0001355686,0.02863146,0.0007304187,0.0001093285,0.9494763,0.001606597,0.01863324],"study_design_scores_gemma":[0.00006068133,0.00005598063,0.0005645223,0.0004918872,0.00001753725,0.0001290679,0.01709086,0.001665123,0.000312658,0.8621787,0.1173735,0.000059514],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09093738,0.007924581,0.3120395,0.1700251,0.001816276,0.0006111488,0.00007401445,0.000433219,0.4161389],"genre_scores_gemma":[0.9533014,0.0008976072,0.03373682,0.003585481,0.0002643988,0.0004104571,0.00002211225,0.0001206981,0.007660929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1950636,"threshold_uncertainty_score":0.9926298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3053695924367446,"score_gpt":0.4597627750688887,"score_spread":0.1543931826321441,"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."}}