{"id":"W4254874391","doi":"10.4213/kvant325","title":"10.4213/kvant325","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":[0.00109043,0.000905903,0.0005266562,0.002094252,0.001781469,0.006876541,0.001581262,0.002442371,0.9497843],"category_scores_gemma":[0.002427045,0.0007033491,0.0005218317,0.00210875,0.001368326,0.005535272,0.004989575,0.00145808,0.9526065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402062,"about_ca_system_score_gemma":0.0009541365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002995803,"about_ca_topic_score_gemma":0.003641149,"domain_scores_codex":[0.999097,0.0001041384,0.000099891,0.0002221429,0.0003805857,0.00009631044],"domain_scores_gemma":[0.9982812,0.0002166248,0.0000932467,0.0005202809,0.0005434451,0.0003450554],"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":[0.000132249,0.00008060277,0.001144774,0.0003215869,0.00001221499,0.0001859586,0.0002079041,0.0001242168,0.001224153,0.01525758,0.5909457,0.3903631],"study_design_scores_gemma":[0.000009694932,0.00001350159,0.0006136771,0.0001213451,0.000003167215,0.0002417742,0.0001246329,0.00008159175,0.000291483,0.001408396,0.9970793,0.00001142678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005131462,0.0003738158,0.0007526174,0.0005549278,0.0004941397,0.00003757965,0.001282891,0.001471771,0.9945192],"genre_scores_gemma":[0.001886367,0.0002250264,0.0004334118,0.0001597758,0.00003652736,0.00001631148,0.0007568133,0.0004781444,0.9960077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05021572,"threshold_uncertainty_score":0.07162654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350727730923072,"score_gpt":0.1831328796261999,"score_spread":0.1696256023169692,"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."}}