{"id":"W7160069683","doi":"10.5281/zenodo.15601194","title":"Особливості мікроелементного забезпечення організму дітей та його вплив на стоматологічне здоров'я","year":2023,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Balance (ability); Period (music); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005407093,0.0006665476,0.0005495245,0.002832993,0.004951034,0.01373673,0.001496503,0.003015378,0.06174314],"category_scores_gemma":[0.01178167,0.0008971252,0.0009592203,0.003025162,0.007936848,0.008117818,0.005020235,0.004011163,0.02943521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005318533,"about_ca_system_score_gemma":0.01443784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195332,"about_ca_topic_score_gemma":0.0190441,"domain_scores_codex":[0.9924914,0.001940984,0.0004694745,0.0008583121,0.003508894,0.0007309443],"domain_scores_gemma":[0.9932133,0.001869029,0.0005645168,0.0008847318,0.002550072,0.0009183565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001366336,0.0001355543,0.005448739,0.00110026,0.00004979579,0.001079454,0.01958973,0.0005632347,0.003604458,0.6489167,0.1250383,0.1943372],"study_design_scores_gemma":[0.00001617038,0.00003509279,0.003149238,0.0006485586,0.00002891658,0.0004813858,0.007246115,0.0002264779,0.00169274,0.06361599,0.9227998,0.00005945532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01548813,0.01239622,0.03454413,0.03781077,0.002789846,0.0003200781,0.0010346,0.0006050496,0.8950113],"genre_scores_gemma":[0.4331726,0.02621357,0.07586382,0.008658582,0.001514469,0.001088491,0.001655284,0.001318155,0.450515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06174314,"threshold_uncertainty_score":0.2065514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08902856070632194,"score_gpt":0.2928111932992631,"score_spread":0.2037826325929412,"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."}}