{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001641009,0.0006766272,0.000449069,0.001807258,0.003337024,0.008716858,0.000918394,0.001861713,0.03473044],"category_scores_gemma":[0.004489182,0.000577174,0.0007362405,0.001634064,0.005585344,0.004759946,0.002882154,0.002725614,0.01171873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003640799,"about_ca_system_score_gemma":0.005639879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005467351,"about_ca_topic_score_gemma":0.005369491,"domain_scores_codex":[0.9973183,0.0006107997,0.0001223546,0.0004736034,0.001159147,0.0003157195],"domain_scores_gemma":[0.9977058,0.0004987852,0.0002115118,0.0003948667,0.0009400994,0.0002490845],"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":[0.00005626937,0.00004021674,0.0009725912,0.0002931415,0.00002565488,0.0003564124,0.004792654,0.0006914961,0.003702491,0.9277819,0.00997556,0.05131143],"study_design_scores_gemma":[0.00002767507,0.00005548091,0.00278748,0.0003353287,0.00004499726,0.000656776,0.005038335,0.001248879,0.005334589,0.3461387,0.6382491,0.00008267372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03229895,0.010935,0.07165682,0.01113737,0.001644702,0.0001803799,0.0005468822,0.0004150573,0.8711848],"genre_scores_gemma":[0.6275116,0.01497839,0.07094754,0.001940141,0.0008206,0.0005759036,0.0006759753,0.000654308,0.2818955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03473044,"threshold_uncertainty_score":0.1161849,"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."}}