{"id":"W4210481771","doi":"10.4018/ijdcf.20150101.fca","title":"10.4018/IJDCF.20150101.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":[0.001491615,0.001186511,0.000729454,0.003220639,0.003393252,0.006133829,0.001908809,0.005177313,0.9707219],"category_scores_gemma":[0.00271192,0.0005749426,0.0007904194,0.003431311,0.001846089,0.005701753,0.003367521,0.002029579,0.9623479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918053,"about_ca_system_score_gemma":0.001350714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005907086,"about_ca_topic_score_gemma":0.007303643,"domain_scores_codex":[0.9992754,0.00007298286,0.00006041474,0.0001907204,0.0002516688,0.0001488213],"domain_scores_gemma":[0.9973662,0.0006876689,0.0001020487,0.0005265947,0.0006701042,0.0006474481],"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":[0.00008468739,0.0001360903,0.0007554352,0.0003028393,0.000007319299,0.0001115281,0.0001358383,0.0001496434,0.0008482003,0.009329803,0.4795752,0.5085634],"study_design_scores_gemma":[0.000009879616,0.00001304238,0.0005698946,0.0001939939,0.000002849821,0.0001603407,0.0001523278,0.0001442563,0.0001545737,0.0009601028,0.9976272,0.00001147282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004483339,0.0006965516,0.0008608232,0.0008673658,0.0006438275,0.00005969792,0.0008426061,0.0006167088,0.9949641],"genre_scores_gemma":[0.001755208,0.0004229026,0.0007180963,0.0003303427,0.0001092935,0.00004728857,0.0006797026,0.0002203711,0.9957168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0292781,"threshold_uncertainty_score":0.04176164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420677297493181,"score_gpt":0.1833873364694447,"score_spread":0.1691805634945129,"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."}}