{"id":"W3132741146","doi":"10.24926/ijps.v7i2.3477","title":"When Government Gets It Right: How a Strategic Visioning Process Aligned Nested Government Systems to Champion Local Relevance and Determination","year":2020,"lang":"en","type":"article","venue":"Interdisciplinary Journal of Partnership Studies","topic":"Community Health and Development","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Portage College","funders":"","keywords":"General partnership; Champion; Government (linguistics); Relevance (law); Public relations; Diversity (politics); Political science; Theme (computing); Public administration; Sociology; Local government; Law; Computer science","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":[0.03584681,0.0006116247,0.0004980611,0.001749465,0.02512901,0.0344701,0.004659394,0.007774715,0.0104921],"category_scores_gemma":[0.05674267,0.0008096737,0.001206123,0.001656904,0.033516,0.02435699,0.02178943,0.01083757,0.001776528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01376617,"about_ca_system_score_gemma":0.03356585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347842,"about_ca_topic_score_gemma":0.03179488,"domain_scores_codex":[0.9536351,0.03787954,0.0005404871,0.001652703,0.002212094,0.00408008],"domain_scores_gemma":[0.9779869,0.01188411,0.001239856,0.001731949,0.002455531,0.004701722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000499789,0.000306255,0.003505772,0.0003047999,0.00004096105,0.0008778475,0.4620844,0.001108883,0.0006743373,0.4127432,0.0479084,0.07039518],"study_design_scores_gemma":[0.00003914928,0.0001380899,0.001631423,0.0006376346,0.00004253279,0.0002797599,0.4520742,0.002137947,0.0008905857,0.1752562,0.3667308,0.0001416747],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1753554,0.002293135,0.1161787,0.3095374,0.004496992,0.0008327182,0.0001010347,0.001104155,0.3901004],"genre_scores_gemma":[0.9114242,0.001226291,0.04724176,0.01018654,0.0002240078,0.00043201,0.00007128052,0.0007805334,0.02841333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03584681,"threshold_uncertainty_score":0.1895784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678822144204522,"score_gpt":0.464439269376278,"score_spread":0.2965570549558257,"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."}}