{"id":"W2907984653","doi":"10.3390/environments6010003","title":"Inclusive Ecosystems? Women’s Participation in the Aquatic Ecosystem of Lake Malawi","year":2018,"lang":"en","type":"article","venue":"Environments","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Ecosystem services; Fishing; Poverty; Focus group; Transformative learning; Business; Perspective (graphical); Ecosystem; Economic growth; Political science; Sociology; Ecology; Economics; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001512534,0.0002201754,0.0002104498,0.0003739953,0.005068044,0.002539839,0.0003809202,0.000774244,0.003471131],"category_scores_gemma":[0.001977347,0.0001988054,0.0001326227,0.0004511334,0.004330978,0.002318691,0.003195942,0.0007381017,0.0001572489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317765,"about_ca_system_score_gemma":0.001692643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03513397,"about_ca_topic_score_gemma":0.07031908,"domain_scores_codex":[0.9987943,0.000693157,0.00002621927,0.00005633427,0.00007605261,0.0003538541],"domain_scores_gemma":[0.9993338,0.0002912019,0.0001770391,0.00002128769,0.00004863049,0.0001280821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004146364,0.00002272525,0.03231444,0.00008799703,0.000007336957,0.0006433382,0.9454184,0.00003619483,0.001306874,0.007722029,0.0008043768,0.01159472],"study_design_scores_gemma":[0.000003143,0.0000480203,0.04235867,0.0001342636,0.00001161228,0.0002096829,0.9250192,0.00009992583,0.0003422954,0.001095948,0.03066522,0.00001193727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839076,0.0006100839,0.000317193,0.004932668,0.00001965331,0.000012509,0.0000276599,0.000002201211,0.01017038],"genre_scores_gemma":[0.996797,0.0003218866,0.0001278413,0.0003176802,0.000007695596,0.00001305392,0.000008602169,0.000001509893,0.002404733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03513397,"threshold_uncertainty_score":0.06985891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003954831361888,"score_gpt":0.2226941242646504,"score_spread":0.2126545759510315,"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."}}