{"id":"W3125513283","doi":"10.3354/esep00196","title":"Making ocean literacy inclusive and accessible","year":2021,"lang":"en","type":"article","venue":"Ethics in Science and Environmental Politics","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"Natural Environment Research Council; Global Challenges Research Fund; Sight Research UK; Canada First Research Excellence Fund; UK Research and Innovation; Ocean Frontier Institute; Society for Conservation Biology","keywords":"Literacy; Indigenous; Privilege (computing); Variety (cybernetics); Citizen science; Political science; Public relations; Sociology; Ecology; Biology","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009196974,0.0002754839,0.0003389046,0.001317738,0.006459136,0.01074241,0.0007640222,0.003735832,0.0109212],"category_scores_gemma":[0.02210999,0.0003248404,0.0003107148,0.0005529733,0.01526594,0.01281259,0.02667723,0.00578401,0.001697716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909781,"about_ca_system_score_gemma":0.007187566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260933,"about_ca_topic_score_gemma":0.004252497,"domain_scores_codex":[0.992119,0.005100529,0.0002575658,0.000393355,0.0008552953,0.001274244],"domain_scores_gemma":[0.985723,0.00762926,0.001030851,0.0008841917,0.001115742,0.003616912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000553523,0.0002758608,0.01640796,0.0007686646,0.00002289914,0.001605528,0.2782815,0.000325034,0.002641251,0.4554082,0.03548457,0.2087232],"study_design_scores_gemma":[0.00003061379,0.0001120561,0.01033335,0.00191587,0.00003284048,0.0006429265,0.1455317,0.0003020029,0.001396742,0.2392954,0.6003638,0.00004265181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2059104,0.002771733,0.01939085,0.2403022,0.001502272,0.0001831838,0.00008215601,0.0001318458,0.5297254],"genre_scores_gemma":[0.9430012,0.002712457,0.006539096,0.02164091,0.0006291943,0.0002292932,0.00008203294,0.0000898769,0.02507601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.999236,"threshold_uncertainty_score":0.04863888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880819080790718,"score_gpt":0.3313855785304162,"score_spread":0.302577387722509,"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."}}