{"id":"W4247149829","doi":"10.1515/9783110837933.243","title":"10.1515/9783110837933.243","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":[0.0008660903,0.001388347,0.0008997704,0.002214418,0.002037042,0.006390095,0.001650084,0.003358453,0.9791308],"category_scores_gemma":[0.002526209,0.0006723365,0.0007051263,0.002894904,0.001240154,0.006368665,0.004782813,0.001663947,0.9749579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008547812,"about_ca_system_score_gemma":0.0008832806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176679,"about_ca_topic_score_gemma":0.002578,"domain_scores_codex":[0.9993242,0.0001065252,0.00007038972,0.0001531006,0.0002437247,0.0001020611],"domain_scores_gemma":[0.9980798,0.000592664,0.0001037887,0.0003439808,0.0003518082,0.000528054],"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":[0.00008619587,0.00007276009,0.0003499102,0.0003719968,0.000008577237,0.0001299818,0.0001752718,0.0000817652,0.0006790526,0.006750133,0.6432077,0.3480867],"study_design_scores_gemma":[0.000009817769,0.00001540066,0.0004830089,0.0001926564,0.000003083935,0.0001346602,0.0001359388,0.0000546567,0.0001035432,0.0007383586,0.9981194,0.000009472321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002123593,0.0004199373,0.000277145,0.0002831035,0.0003526009,0.00003561798,0.0005312602,0.0004873716,0.9974006],"genre_scores_gemma":[0.0007908801,0.0003186465,0.0001900455,0.0002407797,0.0001009684,0.00003371786,0.0004648477,0.0003043384,0.9975557],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0208692,"threshold_uncertainty_score":0.02976739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370805714148911,"score_gpt":0.1812722766397322,"score_spread":0.1675642194982431,"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."}}