{"id":"W4240569751","doi":"10.1524/9783486594072.287","title":"10.1524/9783486594072.287","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":[0.0008003302,0.001359264,0.0009215961,0.00187839,0.001722684,0.005969744,0.001484978,0.00281732,0.984287],"category_scores_gemma":[0.001971578,0.0007844921,0.0006710953,0.002625788,0.001464141,0.005383998,0.003571717,0.001758043,0.9814554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007291475,"about_ca_system_score_gemma":0.0006576818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227711,"about_ca_topic_score_gemma":0.003281187,"domain_scores_codex":[0.9995703,0.00004953514,0.00003991661,0.000109782,0.0001621772,0.00006831783],"domain_scores_gemma":[0.9986078,0.0004010799,0.00006904769,0.0003130126,0.0002521231,0.0003568918],"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":[0.00009179403,0.00009418422,0.000327187,0.0002900593,0.00001056248,0.0001208528,0.0001707803,0.000093328,0.001184086,0.005226634,0.6953975,0.296993],"study_design_scores_gemma":[0.00001515097,0.00001295676,0.0006191338,0.0001630713,0.000004047772,0.0001122949,0.0001352825,0.00008571574,0.0001495578,0.0006090727,0.9980834,0.00001034267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001849705,0.0002774037,0.0004623544,0.0002624872,0.0003013124,0.00004095253,0.0007635956,0.001118131,0.9965888],"genre_scores_gemma":[0.0006102471,0.0002006492,0.0001494394,0.0001827207,0.0000522419,0.0000280632,0.0003233388,0.0004081889,0.9980451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01571298,"threshold_uncertainty_score":0.0224126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371890565367329,"score_gpt":0.1813162889909498,"score_spread":0.1675973833372766,"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."}}