{"id":"W2241484759","doi":"","title":"Žygių rūšinė sudėtis ir paplitimas skirtingose agrocenozėse","year":2010,"lang":"lt","type":"article","venue":"Laba (Lietuvos akademinių bibliotekų direktorių asociacija)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; World Wide Web","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","research_integrity","insufficient_payload"],"category_scores_codex":[0.002783978,0.001718099,0.001546773,0.001627883,0.001137326,0.0008940478,0.002428149,0.003777378,0.001999193],"category_scores_gemma":[0.002730211,0.001784733,0.001169614,0.005600763,0.001887769,0.00008366719,0.001722797,0.003643409,0.00149309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530308,"about_ca_system_score_gemma":0.001514753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005164482,"about_ca_topic_score_gemma":0.0004812026,"domain_scores_codex":[0.9885519,0.0005510683,0.002110309,0.003009252,0.002234512,0.003542918],"domain_scores_gemma":[0.9925756,0.0004528929,0.00101089,0.002897527,0.001226059,0.001836977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004129998,0.0009751298,0.01999533,0.0005540365,0.001087941,0.0002907948,0.001505983,0.0000201498,0.6320543,0.002716472,0.2705546,0.06983228],"study_design_scores_gemma":[0.002225643,0.001081704,0.01278422,0.0001962849,0.0002625234,0.000191176,0.0007351147,0.0001821534,0.1991022,0.0009023124,0.7800379,0.002298733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248263,0.0137139,0.0002357322,0.004554063,0.006821701,0.001727581,0.0009041079,0.000258789,0.0469578],"genre_scores_gemma":[0.9237783,0.01269853,0.003141385,0.001459487,0.00882063,0.0001953862,0.0008089408,0.0004349947,0.04866235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5094833,"threshold_uncertainty_score":0.9995565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085532581476484,"score_gpt":0.2893572789371634,"score_spread":0.2785019531223986,"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."}}