{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550236,0.0001505518,0.0001463082,0.00005089336,0.0003905992,0.00005785583,0.0001756215,0.00006644855,0.0005826673],"category_scores_gemma":[0.001460222,0.0001582537,0.00002187712,0.001092206,0.002224623,0.001476835,0.0006159474,0.00007871463,0.00003620704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006762959,"about_ca_system_score_gemma":0.0002326926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119054,"about_ca_topic_score_gemma":0.0004504584,"domain_scores_codex":[0.9984624,0.0001466334,0.0002379764,0.0004819431,0.0002927373,0.0003782761],"domain_scores_gemma":[0.9990897,0.0003059322,0.0001699776,0.000275711,0.00001038171,0.000148343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002645957,0.0004832153,0.8762352,0.00002746931,0.00001407906,0.000002649374,0.0242947,0.0002080452,0.06762816,0.003984173,0.002100732,0.02499509],"study_design_scores_gemma":[0.0002008112,0.00006841154,0.9313098,0.000009803971,0.00001396021,0.00005745924,0.002129962,0.0001576367,0.002176921,0.001387037,0.06232437,0.0001638668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783272,0.0003267844,0.00007141129,0.007322053,0.000125409,0.0002171613,0.000008187489,0.00001726383,0.01358457],"genre_scores_gemma":[0.9940039,0.0009641356,0.00261258,0.001282272,0.0002209566,0.00002445353,0.000008723771,0.00001239221,0.0008706135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06545124,"threshold_uncertainty_score":0.8196715,"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."}}