{"id":"W3201572529","doi":"10.1016/j.envsci.2021.08.023","title":"Fisheries knowledge exchange and mobilization through a network of policy and practice actors","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Conservation, Ecology, Wildlife Education","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Public relations; Knowledge sharing; Mediation; Political science; Sociology of scientific knowledge; Knowledge management; Government (linguistics); Social network analysis; Politics; Work (physics); Sociology; Social science; Social media; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02592364,0.0004272488,0.0003813732,0.005847443,0.01028994,0.01739844,0.001984596,0.00647922,0.02068155],"category_scores_gemma":[0.04424328,0.0005985259,0.0004652445,0.003356229,0.00717817,0.01563684,0.01588853,0.003757614,0.002241455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007614761,"about_ca_system_score_gemma":0.018239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002816147,"about_ca_topic_score_gemma":0.003277838,"domain_scores_codex":[0.9699233,0.01869348,0.001355329,0.003285753,0.003926606,0.002815558],"domain_scores_gemma":[0.9396953,0.0352699,0.005670404,0.004523177,0.006233924,0.008607352],"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":[0.0003186331,0.001585152,0.05864826,0.000421763,0.0002445734,0.0023258,0.1122133,0.004606948,0.006037867,0.5661895,0.01683763,0.2305705],"study_design_scores_gemma":[0.0002065543,0.0005522452,0.02821886,0.001317339,0.000158471,0.0006869365,0.1211251,0.0172992,0.002476205,0.4572364,0.3705239,0.0001988578],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3436303,0.0008253341,0.0855474,0.05957656,0.0003738441,0.001144322,0.0001559813,0.0002699296,0.5084763],"genre_scores_gemma":[0.9658942,0.0003073342,0.01201836,0.001465894,0.00006887651,0.0004599229,0.00008253374,0.00004693343,0.01965598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02592364,"threshold_uncertainty_score":0.137099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184373993304761,"score_gpt":0.2991704134518175,"score_spread":0.2807330141213414,"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."}}