{"id":"W6939246065","doi":"10.6084/m9.figshare.14608543.v1","title":"Additional file 3 of Tools for measuring gender equality and women’s empowerment (GEWE) indicators in humanitarian settings","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Empowerment; Gender equality; Phase (matter); Gender bias; Data collection","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":[0.004718632,0.001173374,0.001829458,0.006410242,0.0007605789,0.001943477,0.001967584,0.001295186,0.8872465],"category_scores_gemma":[0.05897911,0.0007106518,0.001827725,0.008433229,0.0003240414,0.002790993,0.001573326,0.0009549327,0.1005079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296856,"about_ca_system_score_gemma":0.004610502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008400738,"about_ca_topic_score_gemma":0.01614166,"domain_scores_codex":[0.9981567,0.0004355949,0.0006479622,0.0002167514,0.0003869133,0.0001559789],"domain_scores_gemma":[0.9274729,0.05839938,0.004356112,0.001050719,0.008099914,0.0006209819],"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":[0.000421373,0.00004934997,0.0009394664,0.05662492,0.0001045966,0.00006192701,0.0001778373,0.0002336845,0.00009273792,0.001866495,0.9217513,0.01767629],"study_design_scores_gemma":[0.005670076,0.0002390141,0.01532389,0.03001659,0.0005805055,0.0003026532,0.0007338144,0.0006100884,0.0005340151,0.01106814,0.9347699,0.0001514381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001263455,0.0001673675,0.0002924143,0.0002739924,0.00004046649,0.0007115248,0.9965771,0.0002343637,0.001576484],"genre_scores_gemma":[0.009513756,0.001837607,0.01305574,0.002039348,0.0003343628,0.03623639,0.9015765,0.001205159,0.03420116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8872465,"threshold_uncertainty_score":0.1608291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07044578238112552,"score_gpt":0.2523187247941156,"score_spread":0.1818729424129901,"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."}}