{"id":"W31591095","doi":"10.1503/cmaj.190567","title":"Состояние и проблемы здоровья литовских моряков","year":2010,"lang":"ru","type":"article","venue":"Социологические исследования","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wellcome Trust","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002033962,0.001393671,0.001767245,0.000331637,0.001200874,0.0004108493,0.001170216,0.001171778,0.03137856],"category_scores_gemma":[0.002443967,0.001242624,0.0008415973,0.001152095,0.001141092,0.0008086739,0.0009428228,0.005557036,0.01491641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183774,"about_ca_system_score_gemma":0.0005796766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000511082,"about_ca_topic_score_gemma":0.0004592954,"domain_scores_codex":[0.9917098,0.0003790074,0.001631383,0.001792891,0.001767366,0.002719567],"domain_scores_gemma":[0.992962,0.001663456,0.0007042673,0.002060235,0.0005873124,0.002022722],"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":[0.004028635,0.006380596,0.06573381,0.003057006,0.004600561,0.003448607,0.003945675,0.00001628583,0.1326236,0.02764624,0.4419343,0.3065847],"study_design_scores_gemma":[0.004889389,0.0008119103,0.02696509,0.0003264215,0.001991325,0.0003911311,0.001018791,0.0009546691,0.008543037,0.001158045,0.9515195,0.001430674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4058602,0.017893,0.0001667895,0.04805068,0.02316414,0.002458816,0.0003427459,0.000830245,0.5012334],"genre_scores_gemma":[0.9414045,0.007780561,0.001425451,0.009871129,0.01025661,0.0001130637,0.0001014865,0.0002794187,0.02876782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5355443,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08139179854809632,"score_gpt":0.4341454507604009,"score_spread":0.3527536522123046,"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."}}