{"id":"W4400680225","doi":"10.1371/journal.pclm.0000309","title":"Climate-resilient aquatic food systems require transformative change to address gender and intersectional inequalities","year":2024,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Transformative learning; Inequality; Climate change; Food systems; Sociology; Environmental science; Food security; Political science; Ecology; Mathematics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002288432,0.000229353,0.0002799578,0.0003110228,0.0002005054,0.0004171233,0.0001148882,0.00007955635,0.00006020155],"category_scores_gemma":[0.00001802276,0.0002000306,0.00007851265,0.0002209688,0.00005243084,0.0007875613,0.00007120775,0.0001787751,0.0001276947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130021,"about_ca_system_score_gemma":0.000004674559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003924297,"about_ca_topic_score_gemma":0.00003513531,"domain_scores_codex":[0.9983221,0.0001224091,0.0004259344,0.0003555921,0.0003141926,0.0004597309],"domain_scores_gemma":[0.9994755,0.0001335288,0.00004400483,0.0001507071,0.00004478238,0.0001515205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006359684,0.002464403,0.0157169,0.1003584,0.001811967,0.0002288302,0.7038047,0.0001820575,0.01222353,0.1331229,0.01177578,0.01195089],"study_design_scores_gemma":[0.02568819,0.01744344,0.08002042,0.08275887,0.003597764,0.001942448,0.2112158,0.2675003,0.1855459,0.02430316,0.08657033,0.01341344],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879343,0.002228329,0.0001653969,0.00208302,0.002173345,0.001293098,0.001091959,0.0004797316,0.002550832],"genre_scores_gemma":[0.9981695,0.0001508826,0.00003542603,0.0007062586,0.0004450688,0.0003342884,0.00009474409,0.0000458022,0.00001803225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4925889,"threshold_uncertainty_score":0.8157012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0941438386352138,"score_gpt":0.3125725684985802,"score_spread":0.2184287298633664,"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."}}