{"id":"W2913169908","doi":"","title":"بررسی تاثیر بازخورد کاپنوگرافی در حین احیا قلبی بر بهبود مهارت سایکوموتور احیاگران","year":2019,"lang":"fa","type":"article","venue":"مجله علمی پژوهشی افق دانش","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Pacific Railway (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043382,0.0005874576,0.0002594317,0.0009353707,0.002197884,0.003314031,0.0004264672,0.0009775674,0.04279026],"category_scores_gemma":[0.00302077,0.0004481633,0.0002556523,0.001137703,0.001949367,0.00147788,0.001085488,0.002499865,0.01625576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021754,"about_ca_system_score_gemma":0.00336677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006333506,"about_ca_topic_score_gemma":0.005422953,"domain_scores_codex":[0.9986395,0.0001330988,0.00009038265,0.0001435121,0.0008496476,0.0001438543],"domain_scores_gemma":[0.9981357,0.0003313705,0.000200585,0.0001323117,0.001082561,0.0001174425],"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":[0.0009575245,0.0001946882,0.002782925,0.0007684249,0.00004375886,0.004853884,0.01306083,0.001246581,0.2280942,0.3875564,0.02314871,0.3372921],"study_design_scores_gemma":[0.00005263194,0.0002750118,0.01647837,0.0003815228,0.00005924857,0.00411891,0.01323514,0.001462072,0.1731622,0.05466875,0.7359345,0.0001716793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1878092,0.004088152,0.05963835,0.005995693,0.002449337,0.0003600549,0.000470695,0.0006097622,0.7385788],"genre_scores_gemma":[0.4005381,0.005751148,0.05094806,0.0009760111,0.0008125809,0.0005331392,0.0005154595,0.0006131077,0.5393124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04279026,"threshold_uncertainty_score":0.1431477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004527199336919764,"score_gpt":0.1795054710291584,"score_spread":0.1749782716922386,"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."}}