{"id":"W2904067141","doi":"10.26906/sunz.2018.5.065","title":"АНАЛІЗ КОНСТРУКЦІЙ РЕСОРНИХ ПІДВІШУВАНЬ РЕЙКОВОГО МІСЬКОГО ЕЛЕКТРОРУХОМОГО СКЛАДУ","year":2018,"lang":"uk","type":"article","venue":"Системи управління навігації та зв’язку Збірник наукових праць","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003310863,0.004691651,0.004407944,0.002103769,0.002652345,0.00178182,0.005063273,0.003262503,0.008612492],"category_scores_gemma":[0.0009113496,0.004916046,0.002249251,0.004473798,0.002401365,0.002098509,0.001167215,0.003496692,0.02611558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752996,"about_ca_system_score_gemma":0.001600376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005501378,"about_ca_topic_score_gemma":0.002693887,"domain_scores_codex":[0.9777205,0.0009626765,0.005294602,0.00488361,0.003816674,0.00732196],"domain_scores_gemma":[0.9865169,0.0007750421,0.001499674,0.006706034,0.001406215,0.003096144],"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":[0.001592691,0.005293369,0.0102257,0.006611581,0.006975537,0.002727401,0.02827965,0.02410152,0.09388666,0.06819727,0.5691676,0.182941],"study_design_scores_gemma":[0.008619831,0.003322732,0.01434666,0.003279814,0.001408308,0.0009301779,0.003632555,0.04500671,0.0176672,0.003229273,0.8876856,0.01087111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3751623,0.02263283,0.01347106,0.002910591,0.04356007,0.005046424,0.001240467,0.006671837,0.5293044],"genre_scores_gemma":[0.9344352,0.001862334,0.00281625,0.001229685,0.01553685,0.0005327239,0.0002799201,0.00151796,0.04178904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5592729,"threshold_uncertainty_score":0.9992544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006447721849903788,"score_gpt":0.1974249069984308,"score_spread":0.190977185148527,"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."}}