{"id":"W4394486889","doi":"10.6084/m9.figshare.13468233","title":"Additional file 2 of Oral rehydration therapies in Senegal, Mali, and Sierra Leone: a spatial analysis of changes over time and implications for policy","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sierra leone; Geography; Socioeconomics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009800708,0.0009539675,0.0008636955,0.002383363,0.000529373,0.001082375,0.001666514,0.0008957646,0.2888918],"category_scores_gemma":[0.007228386,0.000609264,0.0008828831,0.005418675,0.0002163806,0.001145468,0.001121587,0.0009300608,0.03567433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812534,"about_ca_system_score_gemma":0.002380848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0882385,"about_ca_topic_score_gemma":0.1019739,"domain_scores_codex":[0.9993989,0.00008588645,0.000120671,0.0001344708,0.0001206681,0.0001393593],"domain_scores_gemma":[0.99701,0.0008993581,0.0006152032,0.0002437379,0.001014416,0.0002173099],"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":[0.0001096661,0.0000443147,0.007420962,0.001192127,0.00005477742,0.00003650561,0.0000494584,0.0004429019,0.00004544145,0.0007090967,0.9869299,0.002964889],"study_design_scores_gemma":[0.001965729,0.0001222417,0.1331306,0.002948445,0.0002030294,0.0001807142,0.0008612198,0.001575831,0.0005311821,0.002186218,0.8562036,0.00009113186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001225616,0.000009449172,0.00001543847,0.00002709132,0.000004826205,0.00001222985,0.9995514,0.00001417649,0.0002428487],"genre_scores_gemma":[0.003258585,0.00006538345,0.0003806988,0.00008352214,0.00001321464,0.000421194,0.9936187,0.00003301203,0.002125685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2888918,"threshold_uncertainty_score":0.9664393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183857425546997,"score_gpt":0.3329428651406438,"score_spread":0.3011042908851738,"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."}}