{"id":"W6894441884","doi":"10.5683/sp3/kwsker","title":"Qualtrics qsf file for the FOCAL Population Survey Tool (Amharic, Afaan Oromoo, English, Portuguese, Yoruba, Kiswahili)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Population; Epidemiology; Survey research; Survey data collection; Current Population Survey","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":[0.002707936,0.0009413137,0.001091658,0.003274501,0.0008232049,0.001731304,0.001978483,0.001222913,0.2713333],"category_scores_gemma":[0.02231644,0.0008732242,0.001077911,0.006783925,0.0002951439,0.001426786,0.001725425,0.001266753,0.08795541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218232,"about_ca_system_score_gemma":0.003991602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05200755,"about_ca_topic_score_gemma":0.06858622,"domain_scores_codex":[0.9984669,0.0003234091,0.0003535438,0.0003477641,0.0003082297,0.0002001035],"domain_scores_gemma":[0.9904323,0.004459192,0.0008625272,0.0009994261,0.002826538,0.0004199903],"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":[0.00003964066,0.00001164043,0.001001535,0.0007824831,0.00001675772,0.00001259215,0.00004218805,0.00009897599,0.00002609236,0.0004323353,0.9954967,0.002039098],"study_design_scores_gemma":[0.000635137,0.00002826824,0.01436555,0.001077875,0.00005007506,0.00006290633,0.0002901047,0.0003104341,0.0002013218,0.001619063,0.981312,0.00004734794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004653973,0.000008143277,0.00005451174,0.00003559009,0.000007755068,0.00002506895,0.9994149,0.00005739216,0.0003500939],"genre_scores_gemma":[0.0005408914,0.00003173256,0.0005487078,0.00007384094,0.000008155246,0.000641014,0.9969864,0.000108871,0.001060353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2713333,"threshold_uncertainty_score":0.9077002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05850877602451588,"score_gpt":0.3119731851789288,"score_spread":0.2534644091544129,"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."}}