{"id":"W4378445643","doi":"10.5281/zenodo.7975055","title":"Тайм менеджмент у проєктній медико-соціальній роботі","year":2023,"lang":"uk","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Technostress in Professional Settings","field":"Psychology","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.002697047,0.00123551,0.001185214,0.001670383,0.007461811,0.002066581,0.007214702,0.001709894,0.4246873],"category_scores_gemma":[0.002918069,0.001390676,0.000467093,0.003170305,0.001209581,0.0004002217,0.009493168,0.004241757,0.7761542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009329011,"about_ca_system_score_gemma":0.00004880178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000193663,"about_ca_topic_score_gemma":0.0000019998,"domain_scores_codex":[0.9885306,0.002516648,0.001669258,0.002872975,0.001983626,0.002426901],"domain_scores_gemma":[0.9926068,0.0003893279,0.00119997,0.003120219,0.001862693,0.0008210309],"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":[0.0003184389,0.0004961568,0.000002839564,0.0005165071,0.0004573937,0.0003565609,0.002422852,0.00002485016,0.00101039,0.008023651,0.8813279,0.1050425],"study_design_scores_gemma":[0.001628957,0.0006233038,0.0006971277,0.0008894785,0.0001464032,0.000372483,0.001933767,0.00008446354,0.0002757679,0.000782225,0.9912384,0.001327635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003759532,0.001634738,0.0007121281,0.005513231,0.00844001,0.002729164,0.007361627,0.006205072,0.9636445],"genre_scores_gemma":[0.06556786,0.002445101,0.0004647414,0.001319086,0.003977377,0.000001631706,0.04355397,0.02713563,0.8555346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3514669,"threshold_uncertainty_score":0.9995861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06790663683980344,"score_gpt":0.3400191395370177,"score_spread":0.2721125026972142,"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."}}