{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008454788,0.0003980268,0.0004618164,0.003108874,0.01318878,0.02349831,0.002267599,0.002954319,0.02048379],"category_scores_gemma":[0.03411709,0.0005166873,0.0003528573,0.003684335,0.04207522,0.03467392,0.01412856,0.006766626,0.001830044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005187178,"about_ca_system_score_gemma":0.005866292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457505,"about_ca_topic_score_gemma":0.007922534,"domain_scores_codex":[0.9947426,0.002913227,0.0001890291,0.0007125149,0.0009533676,0.0004892329],"domain_scores_gemma":[0.9785986,0.01101142,0.00109201,0.006785924,0.001223173,0.001288849],"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":[0.00005615458,0.00003090701,0.001544777,0.00009950604,0.000005497927,0.0001448918,0.1675035,0.00009947625,0.0003574701,0.7791008,0.005990776,0.04506624],"study_design_scores_gemma":[0.00003725076,0.00004488255,0.001494298,0.0007180523,0.00003467081,0.0002698334,0.1469178,0.0005513421,0.0007868698,0.4322501,0.4168657,0.00002916074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1880789,0.004662608,0.06049927,0.045514,0.002191828,0.0001844619,0.0002640643,0.0004338121,0.6981711],"genre_scores_gemma":[0.9319544,0.002152725,0.01850482,0.003310006,0.000395682,0.0001882563,0.0001686542,0.0007502341,0.04257518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02349831,"threshold_uncertainty_score":0.06852514,"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."}}