{"id":"W4394484788","doi":"10.6084/m9.figshare.21340453","title":"Additional file 1 of Incorporating a gender lens into nutrition and health-related policies in Fiji: analysis of policies and stakeholder perspectives","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Stakeholder; Lens (geology); Business; Political science; Public relations; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00273604,0.000986604,0.0008137833,0.003871016,0.001007153,0.001986671,0.002035929,0.001518407,0.4018278],"category_scores_gemma":[0.01947434,0.0006289821,0.001049816,0.006774851,0.0003965389,0.001685798,0.001997313,0.001637843,0.05840316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949041,"about_ca_system_score_gemma":0.004895488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05782805,"about_ca_topic_score_gemma":0.10508,"domain_scores_codex":[0.9987811,0.000244821,0.0002330213,0.0002516691,0.000235662,0.0002537896],"domain_scores_gemma":[0.9884242,0.0068301,0.001093863,0.0009287558,0.00228003,0.0004431347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005050987,0.00003554647,0.002818008,0.001075868,0.00002461178,0.00002072822,0.0001188905,0.000214351,0.00003635592,0.0009729835,0.9926413,0.001990922],"study_design_scores_gemma":[0.0007255539,0.00004451619,0.03816135,0.002056596,0.00009292927,0.00007119137,0.001241736,0.0005425671,0.0003171376,0.003132322,0.953544,0.00007008953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000716737,0.000005472942,0.00002346438,0.00003750378,0.000005416645,0.00001853228,0.999506,0.00001569936,0.00031626],"genre_scores_gemma":[0.001987627,0.00004185187,0.0007922591,0.0001223978,0.00001470904,0.001021666,0.9939607,0.00005611064,0.002002697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4018278,"threshold_uncertainty_score":0.85322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1294740114103467,"score_gpt":0.3517276477455204,"score_spread":0.2222536363351737,"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."}}