{"id":"W1971127494","doi":"10.1111/j.1541-0072.2009.00316.x","title":"Barriers to Co‐Governance: Examining the “Chemistry” of Home‐Care Networks in Germany, England, and Quebec","year":2009,"lang":"en","type":"article","venue":"Policy Studies Journal","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Corporate governance; Network governance; Welfare; Service delivery framework; Outcome (game theory); Political science; Public administration; Service (business); Public relations; Sociology; Business; Economics; Law; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.003301081,0.0002052494,0.0003629368,0.001855822,0.009767494,0.006706506,0.001936096,0.001077943,0.003497741],"category_scores_gemma":[0.009800429,0.000234103,0.0002019674,0.002969025,0.008497126,0.002928948,0.004014499,0.001176569,0.000103716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1007778,"about_ca_system_score_gemma":0.05121875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840656,"about_ca_topic_score_gemma":0.9922753,"domain_scores_codex":[0.9963675,0.001195443,0.00007389318,0.0002765658,0.0004795026,0.0016071],"domain_scores_gemma":[0.9937562,0.002226705,0.001006161,0.0002379717,0.001503245,0.00126987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002518277,0.000228612,0.3294264,0.0002939367,0.0001404745,0.002247682,0.2980877,0.003763878,0.0008047289,0.3036371,0.01051219,0.05060555],"study_design_scores_gemma":[0.00004309641,0.00006410553,0.5075724,0.0005985185,0.00008546789,0.0002471378,0.431327,0.004538449,0.0004290059,0.007813401,0.04719451,0.00008684072],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610405,0.001051344,0.0007151894,0.005998331,0.00002396824,0.0000664533,0.0001870754,0.000007878579,0.03090923],"genre_scores_gemma":[0.9983058,0.0002246477,0.00009768814,0.0001695165,0.000002190529,0.00001528333,0.00004287488,0.000002553367,0.001139446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007778,"threshold_uncertainty_score":0.7311976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550843544397728,"score_gpt":0.4010117367746456,"score_spread":0.3459273823348729,"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."}}