{"id":"W6945085211","doi":"10.21223/p3/czkanf/9ldh5c","title":"Data Dictionary - A2 - Monthly Home Visits.docx","year":2018,"lang":"en","type":"dataset","venue":"International Potato Center","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Feature (linguistics); Identification (biology); Data collection; Term (time); Data set","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005282299,0.0008638048,0.0005946249,0.0009307358,0.0001762881,0.0004342236,0.006657396,0.0004643089,0.01640691],"category_scores_gemma":[0.0002710145,0.0008733582,0.0002610996,0.0002720063,0.0002711861,0.00137147,0.003909343,0.0009471975,0.07837845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006533666,"about_ca_system_score_gemma":0.0002163938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005816743,"about_ca_topic_score_gemma":0.0007973251,"domain_scores_codex":[0.9939593,0.0001719599,0.001050704,0.001829691,0.002257568,0.0007307741],"domain_scores_gemma":[0.9947687,0.0001447967,0.0007362227,0.003397062,0.0006189636,0.0003342536],"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":[0.0003103792,0.0007537223,0.0005322,0.00003445037,0.001040163,0.0003247945,0.00001426138,0.000006890905,0.00001147751,0.00002627868,0.9968536,0.00009181022],"study_design_scores_gemma":[0.001333427,0.00007319018,0.002297919,0.0002778383,0.0001483553,0.0001937361,0.000008933383,0.0004818361,0.000005006095,0.0002489053,0.9941213,0.0008095526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002744781,0.000174462,0.0000105646,0.0006865317,0.01138271,0.0004154161,0.9844645,0.0002452436,0.002346108],"genre_scores_gemma":[0.0003388284,0.0001272643,0.0001812328,0.001462944,0.005708622,0.0000591883,0.9904128,0.0002224643,0.001486691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06197154,"threshold_uncertainty_score":0.9993717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313896881501073,"score_gpt":0.3144793794709601,"score_spread":0.2830896913208528,"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."}}