{"id":"W4242840031","doi":"10.1179/acb.67.2.2062645","title":"10.1179/ACB.67.2.2062645","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; Natural language processing","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":[0.001023614,0.001449071,0.001021741,0.003259858,0.00298576,0.006734102,0.001070243,0.003171786,0.9737281],"category_scores_gemma":[0.003026987,0.0008869163,0.0006068896,0.004449666,0.001648817,0.006299751,0.004603219,0.002208055,0.9767412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782687,"about_ca_system_score_gemma":0.001565108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007890734,"about_ca_topic_score_gemma":0.01309234,"domain_scores_codex":[0.9993687,0.00007016297,0.00006343413,0.0001414982,0.0002313296,0.0001249068],"domain_scores_gemma":[0.9972857,0.000560656,0.0001125679,0.0004021081,0.0009132901,0.0007256808],"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":[0.0001230576,0.0001363275,0.0004987541,0.00043962,0.00001432522,0.0001894544,0.0002141724,0.0001071229,0.001174462,0.008475296,0.6666973,0.3219301],"study_design_scores_gemma":[0.00001166443,0.00001481027,0.0006981762,0.0002999445,0.00000748522,0.0001964973,0.0001898555,0.0000662953,0.0001686688,0.001617007,0.9967151,0.00001452751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002872803,0.0005137118,0.0003578536,0.0005026925,0.0005496219,0.00004211768,0.0007244852,0.0004077632,0.9966145],"genre_scores_gemma":[0.00154661,0.0005387642,0.0002605269,0.0003379007,0.00006911536,0.00003208344,0.000516241,0.0003299565,0.9963688],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02627194,"threshold_uncertainty_score":0.03747368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360720885810433,"score_gpt":0.1814854356921708,"score_spread":0.1678782268340665,"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."}}