{"id":"W4292542283","doi":"10.1002/pan3.10388","title":"Climate change adaptation and adaptive efficacy in the inland fisheries of the Lake Victoria basin","year":2022,"lang":"en","type":"article","venue":"People and Nature","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa; Carleton University","funders":"International Development Research Centre","keywords":"Adaptive capacity; Livelihood; Climate change; Fishing; Geography; Adaptive strategies; Riparian zone; Threatened species; Food security; Environmental change; Effects of global warming; Fishery; Environmental resource management; Socioeconomics; Global warming; Ecology; Agriculture; Environmental science; Economics","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":[0.0004271603,0.000111356,0.0001169501,0.0005274536,0.001285505,0.0006973456,0.0002380391,0.00017238,0.00174968],"category_scores_gemma":[0.001728296,0.00009946172,0.00008391342,0.0007774163,0.0008648839,0.0004565985,0.001263789,0.0002413867,0.00004673724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373341,"about_ca_system_score_gemma":0.001056026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.106949,"about_ca_topic_score_gemma":0.241546,"domain_scores_codex":[0.9997514,0.00009561625,0.00001072529,0.00002055103,0.00002890938,0.00009273466],"domain_scores_gemma":[0.9992824,0.0001794895,0.0002543865,0.00001890285,0.00009550944,0.0001694004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004977221,0.00009039949,0.9219646,0.0001098182,0.00004100833,0.0003248763,0.06037629,0.000183771,0.001279719,0.000487244,0.0003881622,0.01470434],"study_design_scores_gemma":[9.886649e-7,0.00002450728,0.9609742,0.00002779285,0.000005941189,0.00003100599,0.03791637,0.0001506116,0.00005835477,0.0001300488,0.0006755277,0.000004705797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993083,0.00003862557,0.00002048384,0.00005524438,6.947487e-7,0.000002999619,0.00001455491,3.451788e-7,0.0005586907],"genre_scores_gemma":[0.9998305,0.00002943336,0.00002295063,0.000007297784,4.218591e-7,0.000002644668,0.00000510591,1.387628e-7,0.0001014209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.106949,"threshold_uncertainty_score":0.2126529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380962172361234,"score_gpt":0.1905836206380372,"score_spread":0.1767739989144248,"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."}}