{"id":"W4403900571","doi":"10.34689/sh.2021.23.4.010","title":"ДЕНСАУЛЫҚ САҚТАУ ТЕХНОЛОГИЯСЫН БАҒАЛАУ ҮДЕРІСТЕРІНЕ ҚОҒАМДЫ НЕМЕСЕ НАУҚАСТАРДЫ ТАРТУ БОЙЫНША ХАЛЫҚАРАЛЫҚ ЕЛДЕРДІҢ ТӘЖІРИБЕСІ","year":2021,"lang":"kk","type":"article","venue":"Ġylym men densaulyķ saķtau.","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.007864151,0.001813881,0.003233057,0.0007640595,0.001162909,0.0004651115,0.0009947493,0.0019645,0.01999355],"category_scores_gemma":[0.001504471,0.001978178,0.002917385,0.002344689,0.0004960946,0.000738111,0.0007711955,0.002910477,0.01670747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769714,"about_ca_system_score_gemma":0.003632156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004956365,"about_ca_topic_score_gemma":0.0003462428,"domain_scores_codex":[0.9813735,0.005640833,0.003208598,0.003184871,0.003239078,0.003353076],"domain_scores_gemma":[0.9899998,0.000457942,0.000972795,0.004187515,0.001750338,0.002631662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009332385,0.007925776,0.01110563,0.0126887,0.01211489,0.01774246,0.01056095,0.0002374674,0.03122382,0.005508368,0.3554884,0.5344703],"study_design_scores_gemma":[0.02253349,0.00165334,0.08243978,0.005254654,0.00544766,0.005015733,0.007215657,0.002189182,0.02401141,0.002222315,0.8379449,0.004071911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4345708,0.1558881,0.02809131,0.0407302,0.02572665,0.01014996,0.001226549,0.002782277,0.3008341],"genre_scores_gemma":[0.8161317,0.01227169,0.002183635,0.005617503,0.006952795,0.0003872249,0.001854977,0.0006382757,0.1539623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5303984,"threshold_uncertainty_score":0.9994606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359424938046473,"score_gpt":0.3179425714412071,"score_spread":0.2943483220607424,"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."}}