{"id":"W6923170053","doi":"10.1371/journal.pone.0195984.s001","title":"S1 Appendices -","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"German History and Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data source; Data collection; Sensitivity (control systems); Data quality; Data system","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":["insufficient_payload"],"category_scores_codex":[0.003060612,0.00117158,0.001260261,0.004818678,0.001930149,0.002826379,0.002462651,0.001436327,0.8776996],"category_scores_gemma":[0.05983937,0.0008782876,0.001113548,0.008227008,0.0004743069,0.002932746,0.002311659,0.002069396,0.4910076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855172,"about_ca_system_score_gemma":0.006503665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02605675,"about_ca_topic_score_gemma":0.0304837,"domain_scores_codex":[0.99812,0.0004045718,0.0003385308,0.00033607,0.00062591,0.0001749968],"domain_scores_gemma":[0.9684146,0.013022,0.001404186,0.002132028,0.01398404,0.00104315],"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":[0.00002086113,0.00001172843,0.0002174962,0.0003105705,0.000003124877,0.00001680279,0.00001925086,0.00005086963,0.000009071203,0.0004539637,0.9934937,0.005392503],"study_design_scores_gemma":[0.0000836173,0.00002658375,0.002239673,0.00115539,0.00001033603,0.00008347126,0.000202363,0.00009372538,0.000059122,0.00270998,0.9933183,0.00001741036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004291864,0.0005836873,0.001441251,0.003557301,0.004414799,0.00119447,0.9150743,0.0009826787,0.07232234],"genre_scores_gemma":[0.004686804,0.001993235,0.005256155,0.006827183,0.002345921,0.005500797,0.7525887,0.001944549,0.2188566],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1223004,"threshold_uncertainty_score":0.1744468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07874281418599002,"score_gpt":0.2324979122002589,"score_spread":0.1537550980142689,"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."}}