{"id":"W4294215148","doi":"10.38055/fr010103","title":"A Thread That Never Breaks: Digitizing Ancestral and Literal Threads","year":2022,"lang":"en","type":"article","venue":"Fashion Studies","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thread (computing); Literal (mathematical logic); Computer science; Genealogy; Programming language; History","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001691306,0.0001867686,0.0002519744,0.00008026024,0.001374282,0.0007116737,0.0001368876,0.00001388685,0.0005335477],"category_scores_gemma":[0.0000153262,0.0001568819,0.0000789532,0.00003309766,0.0003280094,0.001314218,0.0003626209,0.0002023584,0.00001773719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000480663,"about_ca_system_score_gemma":0.00001235714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002614056,"about_ca_topic_score_gemma":0.0002702185,"domain_scores_codex":[0.9989173,0.00004118698,0.0001841712,0.0002583846,0.0002965908,0.0003023331],"domain_scores_gemma":[0.999575,0.0000987091,0.00007367981,0.0001375135,0.00006626917,0.00004881496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003961237,0.00007489792,0.008901353,0.00006038836,0.0001627748,0.00005225707,0.09402672,0.000002517914,0.000002632794,0.8759247,0.01245048,0.008301648],"study_design_scores_gemma":[0.0004605569,0.0002880991,0.005062699,0.00004732798,0.00003758285,0.00003419163,0.1756147,0.000003073613,0.000004154942,0.03146547,0.7865862,0.0003958998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936319,0.004129956,0.000001119475,0.000540728,0.0007695761,0.0001304562,0.0001311865,0.0001276504,0.1005374],"genre_scores_gemma":[0.9698337,0.0001731274,0.00001170586,0.001082044,0.0003744154,0.00007128978,0.00002247739,0.00001896539,0.02841231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444592,"threshold_uncertainty_score":0.9999258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.164934998336268,"score_gpt":0.2928451420541561,"score_spread":0.1279101437178881,"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."}}