{"id":"W4240026708","doi":"10.4018/ijisss.20150701.fca","title":"10.4018/IJISSS.20150701.fca","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":[0.001534925,0.001336983,0.0007813828,0.003095814,0.002691819,0.006035195,0.00157394,0.004329543,0.9730446],"category_scores_gemma":[0.003057113,0.0006419274,0.000882619,0.003266445,0.001731751,0.006096669,0.003645739,0.001788976,0.968927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403195,"about_ca_system_score_gemma":0.001393039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924686,"about_ca_topic_score_gemma":0.004150566,"domain_scores_codex":[0.9992387,0.00009886242,0.00008525358,0.0001821581,0.0002665424,0.0001284259],"domain_scores_gemma":[0.9968638,0.0008434843,0.0001545776,0.0005693779,0.0007651288,0.0008035614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001066399,0.0001498361,0.0009388519,0.0003467022,0.0000102978,0.0001151638,0.0001669716,0.0001567184,0.0007583787,0.009241813,0.4692613,0.5187474],"study_design_scores_gemma":[0.0000121818,0.00002218522,0.0006955226,0.0002371328,0.000004017028,0.0001710901,0.0001931872,0.0001744061,0.000156423,0.001457154,0.996864,0.00001266001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006130061,0.0007622599,0.0007562937,0.001003795,0.0008567527,0.00005480825,0.0009093154,0.0007981405,0.9942456],"genre_scores_gemma":[0.001941374,0.0004379928,0.0005296449,0.0003330265,0.0001532499,0.00003850946,0.0006180215,0.0002458752,0.9957022],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02695537,"threshold_uncertainty_score":0.03844845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472135830767072,"score_gpt":0.1848174872546758,"score_spread":0.1700961289470051,"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."}}