{"id":"W4237679822","doi":"10.15220/978-92-3-304232-2","title":"10.15220/978-92-3-304232-2","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":[0.0009581594,0.001154786,0.0008024085,0.001614887,0.001509787,0.006147993,0.001452859,0.003186785,0.9726743],"category_scores_gemma":[0.002556085,0.0005485315,0.0005525645,0.002073816,0.001415394,0.005208234,0.003516578,0.002129315,0.9756581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009179172,"about_ca_system_score_gemma":0.0006452768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287295,"about_ca_topic_score_gemma":0.002416116,"domain_scores_codex":[0.9994544,0.00006868211,0.00004895624,0.0001260207,0.0002236509,0.00007822976],"domain_scores_gemma":[0.9985354,0.0005027871,0.00007127782,0.0003163783,0.0002978833,0.0002762871],"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":[0.0001007964,0.00008306841,0.0006424085,0.0002967939,0.00001264707,0.0001400942,0.0001755611,0.0001636127,0.001116274,0.01426635,0.6350214,0.3479809],"study_design_scores_gemma":[0.000008377237,0.00001061265,0.0004494731,0.000118027,0.000002666039,0.0001211216,0.0001056083,0.00006212751,0.00009853478,0.000634115,0.9983826,0.000006714808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001838481,0.0002787901,0.0003641719,0.0002930734,0.0001685821,0.00002673827,0.0003500585,0.0004127622,0.997922],"genre_scores_gemma":[0.001009053,0.0002475347,0.0002493366,0.0001985705,0.00004755904,0.00003140902,0.0002423045,0.0002790486,0.9976951],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02732569,"threshold_uncertainty_score":0.03897679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462197081335132,"score_gpt":0.1838412502805501,"score_spread":0.1692192794671988,"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."}}