{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617565,0.0003613838,0.000275569,0.0006648591,0.0005968453,0.000688115,0.0001507718,0.0002308732,0.004937233],"category_scores_gemma":[0.0002115029,0.0001926394,0.0001988588,0.0006954097,0.000307923,0.0002292052,0.0006629818,0.000377863,0.0005876421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004812844,"about_ca_system_score_gemma":0.0003313475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106532,"about_ca_topic_score_gemma":0.006188264,"domain_scores_codex":[0.9998478,0.00002018645,0.000007872506,0.00005966708,0.00003370592,0.00003072074],"domain_scores_gemma":[0.9998692,0.00002579796,0.00004501479,0.00001409055,0.00002415098,0.00002159796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005403757,0.00007957296,0.06757598,0.000287197,0.00005497464,0.001203133,0.00193094,0.000124836,0.8445583,0.001478828,0.0003674812,0.08179849],"study_design_scores_gemma":[0.00003295738,0.000766125,0.8117067,0.00007471632,0.0001413402,0.004182837,0.003250818,0.0002089436,0.1246308,0.001023499,0.05394649,0.00003470969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822302,0.001299243,0.001443878,0.0000947044,0.00002599758,0.00002495489,0.0005819778,0.00007711259,0.01422174],"genre_scores_gemma":[0.982534,0.0008476715,0.002650229,0.0000829625,0.000008060146,0.00001949134,0.0005756389,0.00003041429,0.01325146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004937233,"threshold_uncertainty_score":0.01651669,"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."}}