{"id":"W4230663665","doi":"10.31030/2874625","title":"10.31030/2874625","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0010676,0.00119811,0.001162123,0.001656393,0.002150752,0.003862147,0.001355639,0.003176964,0.9865904],"category_scores_gemma":[0.002494048,0.0006907699,0.0004942441,0.001693728,0.00132059,0.003589361,0.003862694,0.001597048,0.9862468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059421,"about_ca_system_score_gemma":0.001263769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416248,"about_ca_topic_score_gemma":0.004162979,"domain_scores_codex":[0.9994324,0.00005862474,0.00005265924,0.0001647128,0.0001971947,0.00009441547],"domain_scores_gemma":[0.9977405,0.0004426431,0.0001124278,0.0003108173,0.0006146006,0.0007790755],"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":[0.0001953424,0.0001843776,0.0006286507,0.0003409448,0.000009823917,0.0001980535,0.0001281324,0.0001003641,0.001272182,0.005177557,0.5747133,0.4170512],"study_design_scores_gemma":[0.00003162182,0.00003778383,0.001326669,0.0001957443,0.000004787224,0.0002091711,0.0001534082,0.0001524279,0.0001661392,0.0008087862,0.9968994,0.00001408506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003569724,0.0002058634,0.0002233793,0.0004264792,0.0002410646,0.00005213025,0.0006416991,0.0004878867,0.9973646],"genre_scores_gemma":[0.00107085,0.0001442784,0.0001635708,0.0002464775,0.00003979554,0.00003114151,0.0004406747,0.0001234555,0.9977398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01340961,"threshold_uncertainty_score":0.01912713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148407575629413,"score_gpt":0.18639349510966,"score_spread":0.1715527375467187,"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."}}