{"id":"W3009276281","doi":"10.35988/sm-hs.2020.004","title":"14 METŲ PAAUGLIŲ FIZINIŲ PARAMETRŲ IR KUPRINĖS SVORIO SĄSAJOS SU LAIKYSENA","year":2020,"lang":"lt","type":"article","venue":"Health Sciences","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005180423,0.0004750616,0.001184789,0.0001342395,0.001275157,0.000227922,0.001356792,0.0003206092,0.004291504],"category_scores_gemma":[0.004421146,0.000267596,0.0002543981,0.003513307,0.003594801,0.0002629254,0.0003859025,0.0008992739,0.0014772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189278,"about_ca_system_score_gemma":0.002105764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892302,"about_ca_topic_score_gemma":0.0001506691,"domain_scores_codex":[0.9918817,0.0005563468,0.001280075,0.001683791,0.002444486,0.002153554],"domain_scores_gemma":[0.9940822,0.001118779,0.0005377911,0.0003516455,0.0001200639,0.003789509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004879778,0.001797835,0.3362262,0.002888479,0.0001386927,0.0004562729,0.007268961,0.00004153969,0.001699271,0.02841854,0.2331034,0.3874729],"study_design_scores_gemma":[0.002259906,0.01794039,0.094808,0.001048699,0.0001008075,0.00007362384,0.006353359,0.006910905,0.0008484573,0.003886378,0.8645949,0.001174579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3301368,0.02239118,0.0004489198,0.6206529,0.004209933,0.00175034,0.000111977,0.000326266,0.01997165],"genre_scores_gemma":[0.8952192,0.003210696,0.002059599,0.09648994,0.002062312,0.00002510252,0.00001762478,0.00001098347,0.0009045156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6314915,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1800808321381874,"score_gpt":0.3944816433798437,"score_spread":0.2144008112416563,"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."}}