{"id":"W4414543177","doi":"10.1002/eet.70024","title":"Social Innovation in Small‐Scale Blue Food Systems: A Case Study of Oyster Harvesters in The Gambia, West Africa","year":2025,"lang":"en","type":"article","venue":"Environmental Policy and Governance","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"International Development Research Centre","keywords":"Empowerment; Social innovation; Citizen journalism; Oyster; Sustainability; Resource (disambiguation); Social media; Food systems; Sustainable development","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":[],"consensus_categories":[],"category_scores_codex":[0.00209696,0.000580275,0.000494491,0.001581994,0.01564733,0.003588377,0.001475573,0.002025277,0.002742664],"category_scores_gemma":[0.001715472,0.0003915844,0.0002537257,0.001543698,0.007714294,0.002115158,0.005420109,0.001716195,0.000198095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004270632,"about_ca_system_score_gemma":0.004569921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.039448,"about_ca_topic_score_gemma":0.1350472,"domain_scores_codex":[0.9985808,0.0007530931,0.00002239147,0.0001051297,0.00008564789,0.0004530613],"domain_scores_gemma":[0.998316,0.0009673306,0.000178546,0.00005348392,0.00009276282,0.0003919145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004475672,0.000251405,0.01840227,0.0001560748,0.00001099152,0.01535623,0.9480369,0.0002114248,0.001087645,0.004330857,0.0005411836,0.01157025],"study_design_scores_gemma":[0.000004321708,0.00005393819,0.007476717,0.00010033,0.000004171267,0.0004721088,0.9854775,0.0001778042,0.0001522572,0.000428219,0.005644933,0.00000780393],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961642,0.0001381718,0.0002737611,0.0004161532,0.000006489557,0.00006341486,0.000009446448,0.000002409702,0.002925881],"genre_scores_gemma":[0.9969556,0.0002807761,0.0004843686,0.0001358089,0.000003539148,0.00005986969,0.000008988229,0.0000049573,0.002066042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.039448,"threshold_uncertainty_score":0.07843673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424676245840633,"score_gpt":0.2288716658747292,"score_spread":0.2146249034163228,"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."}}