{"id":"W4389613494","doi":"10.3389/fmars.2023.1338271","title":"Editorial: Co-creating knowledge with fishers: challenges and lessons for integrating fishers’ knowledge contributions into marine science in well-developed scientific advisory systems","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Fisheries and Oceans Canada","funders":"","keywords":"Sociology of scientific knowledge; Marine protected area; Knowledge management; Environmental resource management; Business; Biology; Computer science; Environmental science; Ecology; Sociology","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":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.009794736,0.0008025796,0.001253381,0.001406334,0.002203482,0.001015066,0.002159605,0.0004244167,0.00001912215],"category_scores_gemma":[0.008240328,0.000690454,0.00009173932,0.004690858,0.005636843,0.001609738,0.006535374,0.001156669,0.00004419079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003511952,"about_ca_system_score_gemma":0.001867761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002653447,"about_ca_topic_score_gemma":0.01967951,"domain_scores_codex":[0.9923918,0.0001919887,0.001071791,0.002764715,0.001785704,0.001794049],"domain_scores_gemma":[0.9961569,0.001372755,0.0005428818,0.0008026596,0.0007118459,0.0004129184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008788078,0.000158026,0.01897608,0.0005255813,0.00002081841,0.000008414672,0.004326733,0.00003979423,0.0001283663,0.0001481607,0.9364063,0.03917381],"study_design_scores_gemma":[0.001997971,0.0003477563,0.01563681,0.001236124,0.00005486966,0.000003609529,0.008817654,0.00454614,0.00003843891,0.001160237,0.9648417,0.001318716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003718776,0.0004490056,0.0001950739,0.0002638154,0.9715631,0.001925067,0.00008838535,0.0001795735,0.02161722],"genre_scores_gemma":[0.04250897,0.003635277,0.03248516,0.00001356995,0.8835162,0.004264073,0.0006009613,0.0003639222,0.0326119],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08804692,"threshold_uncertainty_score":0.9995546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545280421815201,"score_gpt":0.2855557345829179,"score_spread":0.2701029303647659,"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."}}