{"id":"W4240800886","doi":"10.14361/transcript.9783839415306.191","title":"10.14361/transcript.9783839415306.191","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":"Biology; Computational biology","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":[0.0009832489,0.0006755042,0.0005485035,0.001949798,0.002362563,0.00516999,0.001264582,0.002559732,0.965045],"category_scores_gemma":[0.004093575,0.0005607851,0.0004718097,0.002723358,0.001379898,0.00416025,0.003854051,0.001583898,0.9557528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217515,"about_ca_system_score_gemma":0.00102103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570611,"about_ca_topic_score_gemma":0.003353364,"domain_scores_codex":[0.9992655,0.0001597747,0.00007774289,0.0001248111,0.0002715937,0.0001004951],"domain_scores_gemma":[0.997451,0.0008629406,0.0001377948,0.0005547265,0.0005703102,0.0004231937],"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":[0.00006408895,0.00004317287,0.0002678156,0.0002629223,0.000003197383,0.0001984089,0.0003010749,0.00008120794,0.0008462653,0.01105575,0.7766695,0.2102065],"study_design_scores_gemma":[0.000007799244,0.000007691445,0.0002271784,0.0001304068,0.000002174843,0.0001833471,0.0002187464,0.00005486079,0.0001310589,0.001056981,0.997973,0.000006665583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003867856,0.0004043683,0.001248058,0.001373718,0.000980292,0.000077238,0.002628669,0.001818276,0.9910825],"genre_scores_gemma":[0.002062156,0.000297663,0.0004985821,0.0006722728,0.0001382783,0.00006722558,0.001500808,0.0009128628,0.9938501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03495502,"threshold_uncertainty_score":0.04985905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155187167335457,"score_gpt":0.1813475585089927,"score_spread":0.165828841775447,"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."}}