{"id":"W7068023328","doi":"","title":"Nina Rys","year":2017,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Judaism; World War II; Theme (computing); White (mutation); Subject (documents); Work (physics); Period (music); Narrative","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001158916,0.0008445511,0.0005332289,0.001227806,0.005198662,0.004622045,0.001104976,0.001578215,0.6814314],"category_scores_gemma":[0.004168014,0.0003595328,0.0004187046,0.0007929301,0.0006846909,0.002821853,0.004100938,0.002967551,0.4795337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895679,"about_ca_system_score_gemma":0.005067032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01882142,"about_ca_topic_score_gemma":0.0565099,"domain_scores_codex":[0.9990258,0.0001667914,0.00003926571,0.0001794636,0.0003564013,0.0002321453],"domain_scores_gemma":[0.9976987,0.0001703908,0.00006240616,0.0001098771,0.0009427278,0.001015876],"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":[0.00001036476,0.000007757564,0.00007709776,0.00002339242,5.556952e-7,0.00004105838,0.00009041199,0.000005433977,0.00003634568,0.001453997,0.9897266,0.008527021],"study_design_scores_gemma":[0.000001821807,0.000001894763,0.0001147188,0.00003073666,5.01452e-7,0.00003288832,0.0001911154,0.000006181247,0.00001993414,0.0001722646,0.9994255,0.00000241307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007390487,0.001347395,0.0004042182,0.01966285,0.01407124,0.00008288663,0.004002761,0.001027856,0.9586617],"genre_scores_gemma":[0.001432744,0.0004643758,0.0001314285,0.002634553,0.0004344333,0.0000382121,0.0008616939,0.0003904779,0.9936121],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3185686,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004872661895506096,"score_gpt":0.191788828480738,"score_spread":0.1869161665852319,"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."}}