{"id":"W6964336773","doi":"10.25549/pcra-c14-194281","title":"Put' very = Way of faith, 1939?, no. ?","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gospel; Slavic languages; Field (mathematics); Slavic studies; Western europe","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":[0.0005595861,0.0009846166,0.0008962571,0.004291797,0.0007980608,0.004403515,0.001022605,0.0009962608,0.1931108],"category_scores_gemma":[0.005763418,0.0004871735,0.0007000591,0.01269439,0.0003619991,0.002562238,0.001581206,0.001379217,0.1727981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109769,"about_ca_system_score_gemma":0.001754598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04098905,"about_ca_topic_score_gemma":0.05589915,"domain_scores_codex":[0.9993337,0.00007350458,0.0001463646,0.0001666031,0.0001527132,0.0001270849],"domain_scores_gemma":[0.9976235,0.0005342223,0.000456237,0.0002474218,0.0009262649,0.0002123978],"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":[0.0000410305,0.000006094814,0.001060189,0.0009101361,0.00001097245,0.00001562501,0.0000380096,0.00003784834,0.00002930962,0.0003468791,0.9946391,0.002864748],"study_design_scores_gemma":[0.00007982324,0.000006553877,0.006770474,0.0005526161,0.00001043706,0.00002824755,0.0001644653,0.00003078038,0.0000608614,0.0002714579,0.9920106,0.00001372913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001110462,0.0001059756,0.00001533246,0.00008623509,0.00005052135,0.000007475103,0.9974108,0.00007496831,0.002137558],"genre_scores_gemma":[0.001083025,0.0003885817,0.0001163342,0.0001715295,0.00003898301,0.00007749585,0.9934661,0.0001197676,0.00453826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1931108,"threshold_uncertainty_score":0.6460201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004953497563697014,"score_gpt":0.1480408972863409,"score_spread":0.1430873997226439,"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."}}