{"id":"W7111657616","doi":"","title":"Розробка математичної моделі прогнозування розвитку післяопераційного болю у пацієнтів з травмами кінцівок","year":2017,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual analogue scale; Cognition; Quality (philosophy); Clinical Practice; Process (computing); Scale (ratio)","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":[0.0006229429,0.0004797291,0.0004234296,0.001088926,0.0004183123,0.001290146,0.0005093237,0.0004654229,0.006651694],"category_scores_gemma":[0.002866861,0.0003002194,0.0007455592,0.0006802308,0.0006689627,0.0008012665,0.0005472881,0.0007972733,0.001341446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006371757,"about_ca_system_score_gemma":0.001336247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005767297,"about_ca_topic_score_gemma":0.003335608,"domain_scores_codex":[0.9996651,0.00009825703,0.00002372203,0.00006497145,0.0001054412,0.00004242037],"domain_scores_gemma":[0.9994155,0.0003262603,0.0001076299,0.00003299879,0.00009664372,0.00002109298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001926369,0.000324136,0.03801084,0.0005565024,0.0002293282,0.001513406,0.001089174,0.5061678,0.01177336,0.1871377,0.006828109,0.2461769],"study_design_scores_gemma":[0.00006262492,0.000355781,0.01229833,0.0001761161,0.0001627858,0.001188064,0.0003851833,0.8712075,0.003499251,0.08798294,0.02255239,0.00012899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07067342,0.001544457,0.8953177,0.001079233,0.0002285434,0.0002084379,0.0005082294,0.000383774,0.03005624],"genre_scores_gemma":[0.80862,0.002520316,0.1708493,0.0001000728,0.0001496649,0.0007190029,0.0004184941,0.00008066765,0.01654237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006651694,"threshold_uncertainty_score":0.02225214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09184781205900366,"score_gpt":0.3786952453504123,"score_spread":0.2868474332914086,"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."}}