{"id":"W4386864464","doi":"10.53511/pharmkaz.2023.46.32.025","title":"ВЛИЯНИЕ ЭРГОНОМИЧЕСКИХ УСЛОВИЙ ТРУДА НА ЗДОРОВЬЕ ВРАЧЕЙ-СТОМАТОЛОГОВ","year":2023,"lang":"ru","type":"article","venue":"Farmaciâ Kazahstana","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montréal InVivo","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001103401,0.001089746,0.001170148,0.001031066,0.0005793315,0.000148601,0.001318841,0.001182941,0.002083631],"category_scores_gemma":[0.0002229183,0.001218218,0.0005413122,0.00263086,0.0004772425,0.0005452808,0.0003850052,0.002057511,0.01046077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952843,"about_ca_system_score_gemma":0.0001833849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681686,"about_ca_topic_score_gemma":0.0002661536,"domain_scores_codex":[0.9944818,0.0002391256,0.001302305,0.001123367,0.000691972,0.002161421],"domain_scores_gemma":[0.997282,0.0004029233,0.0001651859,0.001576362,0.0001359083,0.0004376676],"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":[0.0003842498,0.0004261039,0.01164752,0.003425124,0.002704222,0.004188369,0.007737329,0.02927669,0.01146275,0.3148818,0.5502428,0.06362307],"study_design_scores_gemma":[0.005391403,0.0009567564,0.02242964,0.0009598046,0.0009750975,0.0003230723,0.01395066,0.1018721,0.006835921,0.1000686,0.7399666,0.006270328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5713284,0.02445314,0.002647168,0.006412008,0.0111356,0.001869194,0.001297223,0.01604206,0.3648152],"genre_scores_gemma":[0.9815105,0.005812143,0.0004152178,0.0003086195,0.0006582086,0.0001083423,0.0002788548,0.0002425297,0.01066556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4101821,"threshold_uncertainty_score":0.9990268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856363585187672,"score_gpt":0.2468122768843013,"score_spread":0.2282486410324246,"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."}}