{"id":"W6944244886","doi":"10.17605/osf.io/e3pgz","title":"ENSANUT Ecuador 2018 - Open Data","year":2021,"lang":"es","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Public health; Government (linguistics); Principal (computer security); Identification (biology)","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.007381783,0.000644177,0.0007881428,0.00007539111,0.0006956384,0.001171128,0.008954245,0.0004774262,0.9255099],"category_scores_gemma":[0.002836676,0.0007436748,0.0001729577,0.0004745173,0.0007753583,0.002351966,0.05210998,0.0008685321,0.9625049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009242611,"about_ca_system_score_gemma":0.0004032463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516947,"about_ca_topic_score_gemma":0.0005074431,"domain_scores_codex":[0.9892054,0.001413522,0.001135733,0.005820046,0.001048064,0.001377238],"domain_scores_gemma":[0.9836199,0.0004401835,0.0004279013,0.01425255,0.00002963907,0.001229875],"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":[0.0001654108,0.002364418,0.2890377,0.0003128823,0.0002813094,0.000456024,0.001168111,0.0005516963,0.01149296,0.0003770311,0.5593085,0.134484],"study_design_scores_gemma":[0.0007565659,0.000002188036,0.2320976,0.0001408125,0.00008732006,0.00009016413,0.0004181724,0.0008738738,0.01184172,0.0008163342,0.7521974,0.0006778284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.164282,0.00001915643,0.0001495686,0.003370852,0.0009443296,0.001371419,0.0004809765,0.00009139513,0.8292903],"genre_scores_gemma":[0.4404403,0.002542324,0.003783296,0.001868821,0.0002558563,0.0001597016,0.0006044179,0.0001057291,0.5502396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2790507,"threshold_uncertainty_score":0.9998658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416239258349102,"score_gpt":0.3119733630727202,"score_spread":0.27034943723781,"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."}}