{"id":"W6912769360","doi":"10.5281/zenodo.7950287","title":"Формування змісту валеологічної компетентності здобувачів вищої немедичної освіти","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":"Competence (human resources); Period (music); Paraphrase","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":[0.002976248,0.000450337,0.0003451267,0.001713713,0.003189172,0.008982274,0.0007268604,0.001350149,0.0407317],"category_scores_gemma":[0.006343158,0.0006003601,0.000439973,0.001872023,0.006771829,0.004442542,0.003348633,0.002548481,0.01852662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003033761,"about_ca_system_score_gemma":0.005263606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005169565,"about_ca_topic_score_gemma":0.006447702,"domain_scores_codex":[0.9966446,0.0008207427,0.0001894201,0.0004007134,0.001584627,0.0003598552],"domain_scores_gemma":[0.9961372,0.0008958665,0.0003854777,0.000555171,0.001558064,0.0004682072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001334343,0.00005217953,0.004150406,0.0007665897,0.00004404819,0.0006047579,0.01199079,0.0005133579,0.007188822,0.6959524,0.08695286,0.1916504],"study_design_scores_gemma":[0.00001032949,0.00003166091,0.003675443,0.0002534856,0.00001995856,0.0004661331,0.002905525,0.0001605442,0.003032894,0.07060094,0.9188034,0.00003957259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0221413,0.01017134,0.04303878,0.02953768,0.002818379,0.0001957086,0.0008213482,0.0006633553,0.8906121],"genre_scores_gemma":[0.5568009,0.01636607,0.04647417,0.004378741,0.001755869,0.0004594838,0.0009613442,0.001294093,0.3715095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0407317,"threshold_uncertainty_score":0.1362611,"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."}}