{"id":"W3176866615","doi":"10.1002/fsh.10635","title":"Best Practices for Communicating Climate Science for Fisheries Professionals","year":2021,"lang":"en","type":"article","venue":"Fisheries","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Action (physics); Climate change; Scientific consensus; Rigour; Scientific evidence; Component (thermodynamics); Public relations; Environmental planning; Fishery; Political science; Environmental resource management; Business; Environmental science; Global warming; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001866526,0.00009528782,0.0001547811,0.00004038407,0.004076308,0.0005031567,0.0006031057,0.00008347823,0.0005751346],"category_scores_gemma":[0.005316755,0.00009715182,0.00007264502,0.0003552436,0.0008825968,0.001065458,0.0002682859,0.00009802308,0.00001448357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000858877,"about_ca_system_score_gemma":0.0004592308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004263248,"about_ca_topic_score_gemma":0.01182948,"domain_scores_codex":[0.9986734,0.000195298,0.0002374816,0.0002395789,0.0002658972,0.0003883531],"domain_scores_gemma":[0.9969354,0.001295491,0.0003484019,0.0005051788,0.0008317375,0.00008378126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003990193,0.001304444,0.04146881,0.001162586,0.00006772608,0.000001851733,0.4347061,0.000002202211,0.01466164,0.1941884,0.05931797,0.2527193],"study_design_scores_gemma":[0.0001829996,0.00003571316,0.0009192054,0.000084741,0.00001394737,8.499533e-7,0.0973442,0.000077437,0.000467886,0.001048799,0.8996892,0.0001350181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2685108,0.001915697,0.0005255446,0.3069273,0.002206371,0.002789522,0.0005493588,0.0004650388,0.4161103],"genre_scores_gemma":[0.7262053,0.04074503,0.1619109,0.01029991,0.001863365,0.004570738,0.001494303,0.0001380165,0.05277241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8403713,"threshold_uncertainty_score":0.9972203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7051120731040136,"score_gpt":0.5539807530017258,"score_spread":0.1511313201022878,"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."}}