{"id":"W4226091843","doi":"10.1111/hex.13491","title":"Network‐building by community actors to develop capacities for coproduction of health services following reforms: A case study","year":2022,"lang":"en","type":"article","venue":"Health Expectations","topic":"Community Health and Development","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École Nationale d'Administration Publique","funders":"","keywords":"Coproduction; Service provider; Public relations; Social network analysis; Context (archaeology); Legitimacy; Social network (sociolinguistics); Knowledge management; Business; Service (business); Sociology; Political science; Marketing; Politics; Computer science; Social capital","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01350251,0.0005039337,0.0002421326,0.001807244,0.01524634,0.004596945,0.00227598,0.003040963,0.004016087],"category_scores_gemma":[0.009015575,0.0005159579,0.0005316328,0.001584384,0.008704674,0.006109045,0.00797698,0.002613603,0.0004175665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006697214,"about_ca_system_score_gemma":0.005661468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497736,"about_ca_topic_score_gemma":0.0342677,"domain_scores_codex":[0.9904305,0.007678884,0.0001097928,0.000336258,0.0004621432,0.0009824188],"domain_scores_gemma":[0.9908059,0.00580766,0.0008581806,0.0005961716,0.0005267605,0.001405216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001702769,0.001277806,0.02709397,0.0002871068,0.00002867788,0.01236428,0.8331352,0.001033782,0.001125919,0.06753171,0.004705135,0.05124616],"study_design_scores_gemma":[0.00007620711,0.0004854306,0.009521684,0.0004675309,0.00003567405,0.002415246,0.8964421,0.002376461,0.001270666,0.008838903,0.07802022,0.00005003979],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946552,0.0005637038,0.007551501,0.005173368,0.00006583578,0.0008030573,0.00008717865,0.00002683654,0.03917661],"genre_scores_gemma":[0.9863455,0.0007019906,0.007184182,0.0003999021,0.0000249626,0.0003932999,0.00004732455,0.00001645079,0.004886511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01524634,"threshold_uncertainty_score":0.07140893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1316950975705229,"score_gpt":0.4683752468995889,"score_spread":0.3366801493290661,"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."}}