{"id":"W3188016578","doi":"10.3389/fmars.2021.711538","title":"Advancing Social Equity in and Through Marine Conservation","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Operationalization; Commit; Equity (law); Business; Marine conservation; Conservation psychology; Corporate governance; Environmental resource management; Environmental planning; Political science; Public relations; Economics; Biodiversity; Ecology; Geography; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02643599,0.0003691725,0.0006077868,0.002632474,0.007905765,0.01197675,0.001587692,0.003640823,0.006651987],"category_scores_gemma":[0.02345434,0.0002062452,0.0005296937,0.001515151,0.04893505,0.01284572,0.02100235,0.00417131,0.0002234698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008599523,"about_ca_system_score_gemma":0.02604497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008712912,"about_ca_topic_score_gemma":0.01844199,"domain_scores_codex":[0.9854751,0.009109521,0.000339335,0.0007004246,0.002212546,0.002163019],"domain_scores_gemma":[0.9817545,0.01050894,0.001593497,0.001335889,0.001388725,0.00341841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007809434,0.00003838831,0.002323251,0.0001399523,0.00001399626,0.00006544591,0.01027832,0.0003621595,0.00008644102,0.9297672,0.004604316,0.0523128],"study_design_scores_gemma":[0.000005943397,0.00003065189,0.002804231,0.0008073768,0.000008987392,0.00005220848,0.01377413,0.0002401979,0.0001415774,0.8571191,0.1249995,0.00001612518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0575777,0.02962563,0.02687169,0.4308082,0.002487062,0.0002609604,0.00005883239,0.00008304281,0.4522269],"genre_scores_gemma":[0.9544203,0.01078464,0.008641986,0.01690971,0.001212582,0.000163427,0.00002893265,0.00002907141,0.007809234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02643599,"threshold_uncertainty_score":0.1398085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342677905692711,"score_gpt":0.2681505573605,"score_spread":0.2547237783035729,"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."}}