{"id":"W4238257580","doi":"10.4018/ijopcd.20150701.bca","title":"10.4018/IJOPCD.20150701.bca","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":"Natural language processing; 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":[0.001065386,0.001148179,0.0007322863,0.002827086,0.003537773,0.00642588,0.001710345,0.004510313,0.9776465],"category_scores_gemma":[0.002531773,0.0006113173,0.0006241017,0.003271856,0.001829545,0.005606946,0.004150697,0.002096822,0.9680577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904675,"about_ca_system_score_gemma":0.001790535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006154132,"about_ca_topic_score_gemma":0.009723673,"domain_scores_codex":[0.9992624,0.00007478049,0.00006695504,0.0001997293,0.0002546887,0.0001414148],"domain_scores_gemma":[0.9974018,0.0005710892,0.00009976052,0.0004233206,0.0007299864,0.000774002],"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":[0.00008062537,0.0001515178,0.0007100601,0.0002871973,0.000005996934,0.0001000434,0.0001075703,0.00009104297,0.0005746901,0.007238049,0.5237651,0.4668882],"study_design_scores_gemma":[0.00001165234,0.00001230451,0.0005347481,0.0002015731,0.000002671671,0.0001582172,0.0001673752,0.0001102201,0.0001306956,0.0009193926,0.9977416,0.000009677817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003689736,0.0005453138,0.0005115404,0.0007708257,0.0005563318,0.0000567269,0.0006807251,0.0004816333,0.9960279],"genre_scores_gemma":[0.001356288,0.0003411998,0.0004440914,0.000370825,0.0000863154,0.00003765874,0.0004651717,0.0001913392,0.9967071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02235347,"threshold_uncertainty_score":0.03188449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441036491952532,"score_gpt":0.184129248325204,"score_spread":0.1697188834056787,"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."}}