{"id":"W6889323180","doi":"10.25549/pcra-c14-181698","title":"Yevanhelʹsʹkyy holos = Evangelical Voice, 1999, no. 1 (1999 January-March), whole no. 125","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slavic languages; Christianity; Interpretation (philosophy); Symbol (formal)","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":[0.0006011489,0.001260859,0.001165294,0.003068162,0.0005406386,0.00297558,0.001496054,0.001340285,0.1075413],"category_scores_gemma":[0.005368765,0.0005883233,0.0005753593,0.009026867,0.0002519606,0.001817842,0.001225657,0.001217823,0.1540536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486274,"about_ca_system_score_gemma":0.001949071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04133932,"about_ca_topic_score_gemma":0.0582361,"domain_scores_codex":[0.9994293,0.00006411314,0.00009160351,0.0001842827,0.0001397683,0.00009092471],"domain_scores_gemma":[0.9983667,0.000442375,0.0002465068,0.0002613228,0.0004966295,0.0001865625],"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":[0.00002615209,0.000005076849,0.0003886968,0.0003474242,0.000006551473,0.000009386002,0.00001066799,0.00007754484,0.00002097219,0.0002551758,0.9974369,0.001415463],"study_design_scores_gemma":[0.00009485965,0.000006490515,0.003922391,0.0002457257,0.000009266616,0.00002076915,0.00006627679,0.0001249214,0.00009564394,0.0004027775,0.9949971,0.00001372495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005333764,0.00005559434,0.0000200568,0.00004428146,0.00001423518,0.000003308733,0.9988,0.00009708992,0.0009120958],"genre_scores_gemma":[0.0002557242,0.00008870749,0.00007534367,0.00002652147,0.000006518303,0.00002889594,0.9982084,0.00005195836,0.001257899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1075413,"threshold_uncertainty_score":0.3597614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041481330332885,"score_gpt":0.1819719514134329,"score_spread":0.1715571381101041,"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."}}