{"id":"W4229043544","doi":"10.3389/fenvs.2022.756045","title":"A Future for the Inland Fish and Fisheries Hidden Within the Sustainable Development Goals","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"U.S. Geological Survey","keywords":"Operationalization; Sustainability; Natural resource; Sustainable development; Environmental resource management; Corporate governance; Ecosystem services; Environmental planning; Inclusion (mineral); Marine conservation; Business; Ecosystem; Geography; Ecology; Economics; Sociology; Biology; Social science","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":[0.004792491,0.0005397006,0.0003670214,0.00092804,0.004786362,0.01102418,0.001007548,0.005128923,0.03084279],"category_scores_gemma":[0.003626104,0.0001988975,0.0005314375,0.001382827,0.006671506,0.01679808,0.007929899,0.004832166,0.00268646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003843931,"about_ca_system_score_gemma":0.01450734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006777556,"about_ca_topic_score_gemma":0.0207933,"domain_scores_codex":[0.9983474,0.0007072044,0.00004108666,0.0001330615,0.0003319238,0.0004393939],"domain_scores_gemma":[0.9968613,0.0007617712,0.0001888217,0.0003030706,0.0005889224,0.001296002],"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":[0.00004060122,0.00008082698,0.002143451,0.0002272502,0.000007289449,0.0001853374,0.003273635,0.0004205144,0.0008004653,0.8242894,0.07016074,0.09837043],"study_design_scores_gemma":[0.000003336012,0.00003129235,0.001694541,0.0005282455,0.000008242782,0.0001232795,0.007363666,0.0002990824,0.0002209358,0.2025335,0.7871747,0.00001916771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02108142,0.02180737,0.02775594,0.4611341,0.003557364,0.00007945564,0.0004389186,0.0002601174,0.4638853],"genre_scores_gemma":[0.5952709,0.04718107,0.1178749,0.08040786,0.002519696,0.0004133551,0.001020775,0.0003430027,0.1549683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03084279,"threshold_uncertainty_score":0.1031794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005656755532818346,"score_gpt":0.1948117861979919,"score_spread":0.1891550306651735,"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."}}