{"id":"W6930552602","doi":"10.5281/zenodo.11875680","title":"bible numerics ivan panin pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific and Engineering Research Topics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greeks; Hebrews; Subject (documents); New Testament; Old Testament; Wainwright","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000575006,0.0002473133,0.0002296772,0.0009117086,0.0005403457,0.001673692,0.001373272,0.0002168999,0.3204009],"category_scores_gemma":[0.0004904236,0.0002553612,0.0001038202,0.001296868,0.0001706581,0.00008843036,0.001327294,0.0006495903,0.5382671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001456135,"about_ca_system_score_gemma":0.000006086801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005102682,"about_ca_topic_score_gemma":0.000001429913,"domain_scores_codex":[0.9976595,0.0001444849,0.0002393693,0.0006676178,0.0007357454,0.0005532507],"domain_scores_gemma":[0.9986454,0.00001429451,0.00008256427,0.0008038192,0.0001929563,0.00026095],"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":[0.000006032759,0.0000429944,4.795639e-7,0.0003240542,0.0000798205,0.0001164286,0.0001066439,0.000009257258,0.0002597214,0.001717057,0.9820023,0.01533527],"study_design_scores_gemma":[0.0001733688,0.00005225097,0.00002116838,0.0001607908,0.00002302003,0.0001197345,0.00009681996,0.0002222306,0.00005243249,0.000141569,0.9986739,0.0002627788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004821709,0.0006501751,0.002821042,0.0001444655,0.001234357,0.0003285737,0.0005563057,0.002377559,0.9918393],"genre_scores_gemma":[0.001086575,0.0002063105,0.0002769237,0.0000338722,0.0006810602,5.943981e-8,0.001873576,0.009177838,0.9866638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2178662,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287913116744961,"score_gpt":0.261069082502642,"score_spread":0.2281899513351924,"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."}}