{"id":"W3012280743","doi":"10.21083/ruralreview.v3i1.6022","title":"Making a Difference: Provincial Policy Reflections on Knowledge Mobilization","year":2019,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mobilization; Political science; Public policy; Process (computing); Public relations; Public administration; Business; Economic growth; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003512642,0.0003761375,0.0004677257,0.00009339723,0.0005257512,0.0001315413,0.0002524975,0.0001329445,0.0002399388],"category_scores_gemma":[0.0001192676,0.0001668796,0.000105487,0.0007563827,0.00004787126,0.000205838,0.0001238524,0.0002972917,0.0001576178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008213234,"about_ca_system_score_gemma":0.0006190839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005678833,"about_ca_topic_score_gemma":0.01311085,"domain_scores_codex":[0.9981042,0.0001052459,0.0005352254,0.000366162,0.0002954273,0.0005937159],"domain_scores_gemma":[0.9993302,0.0001246919,0.0001710381,0.00009992628,0.0001095576,0.0001645509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001776478,0.0002358914,0.4008677,0.00107511,0.00008417355,0.000007691463,0.008866417,0.000005593173,0.005953241,0.01268325,0.00355095,0.5664923],"study_design_scores_gemma":[0.0002112791,0.0002025282,0.8028951,0.002236219,0.00001463501,0.00001504168,0.0004593214,0.000004505741,0.0001421988,0.0009065511,0.1924056,0.0005071143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982014,0.00184021,0.000001474883,0.003182503,0.0001612615,0.001020663,0.00000520897,0.0001154728,0.01165921],"genre_scores_gemma":[0.9811181,0.0006620262,0.0001341854,0.001773852,0.0003769512,0.00009027009,0.0002239175,0.000003847991,0.01561688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5659852,"threshold_uncertainty_score":0.8584735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488136435837998,"score_gpt":0.3382614759886856,"score_spread":0.2894478324048858,"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."}}