{"id":"W4385777768","doi":"10.52058/2786-6165-2023-7(13)-384-403","title":"ФОРМУВАННЯ ЗДОРОВ'ЯЗБЕРІГАЮЧИХ КОМПЕТЕНТНОСТЕЙ УЧНІВ ЧЕРЕЗ МІЖПРЕДМЕТНІ ЗВ'ЯЗКИ","year":2023,"lang":"uk","type":"article","venue":"Вісник науки та освіти","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Computer science","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0009687528,0.001439837,0.001426251,0.001159496,0.0007263003,0.0002214248,0.001794016,0.001866389,0.004548657],"category_scores_gemma":[0.0003326942,0.001580807,0.0006652197,0.002755124,0.0007407423,0.0007397263,0.0006233515,0.002356311,0.01826332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003061479,"about_ca_system_score_gemma":0.0005386963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000558025,"about_ca_topic_score_gemma":0.0009715059,"domain_scores_codex":[0.9931831,0.0002260222,0.001468435,0.00158923,0.0008653369,0.002667883],"domain_scores_gemma":[0.9962143,0.0004580643,0.0002065804,0.002401773,0.0001849066,0.0005343598],"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":[0.0004209524,0.0007419718,0.01034708,0.003559144,0.003083469,0.003609498,0.01098747,0.01653301,0.01141218,0.4957611,0.3540677,0.08947645],"study_design_scores_gemma":[0.008905554,0.002290973,0.11044,0.002150414,0.001528278,0.0005373486,0.02220589,0.08175415,0.01160467,0.3429801,0.4044834,0.01111925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4525947,0.01871226,0.001310889,0.00480026,0.01272743,0.001985638,0.0009527219,0.01398221,0.4929339],"genre_scores_gemma":[0.9698981,0.005145877,0.0007564943,0.0002882512,0.001119584,0.0001892361,0.0003136412,0.0003495412,0.02193928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5173034,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352039847755492,"score_gpt":0.2175584913714499,"score_spread":0.204038092893895,"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."}}