{"id":"W4411656854","doi":"10.51847/2fqw2xu9td","title":"10.51847/2fQw2xu9td","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital library; Futures contract; World Wide Web; Computer science; Software; Digital transformation; Semantic technology; Multimedia; Information retrieval; Semantic Web; Business; Semantic computing; Linguistics; Programming language","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":[0.00106998,0.0008142188,0.0007406224,0.002800995,0.001808477,0.003327138,0.0009328555,0.002721176,0.9413144],"category_scores_gemma":[0.001869733,0.0003451022,0.000622811,0.002341549,0.0009761438,0.002049399,0.002150855,0.00097194,0.8884553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313294,"about_ca_system_score_gemma":0.0009339156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006076569,"about_ca_topic_score_gemma":0.005057987,"domain_scores_codex":[0.9993863,0.00006919562,0.00004537375,0.0001488277,0.0002135063,0.0001367286],"domain_scores_gemma":[0.9986732,0.0003320083,0.00006183032,0.0001922499,0.0004568786,0.0002838061],"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":[0.0002731075,0.000214389,0.001722531,0.0003992895,0.00002242304,0.0004301985,0.0001793955,0.0003916808,0.0051613,0.01149711,0.2625939,0.7171147],"study_design_scores_gemma":[0.00005384471,0.00006627657,0.002025285,0.0001680014,0.00001097534,0.0003384763,0.0001810665,0.000683721,0.001395061,0.001687805,0.9933688,0.00002068154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004490118,0.0005273814,0.004668666,0.001303592,0.000764209,0.0002431911,0.002159773,0.002210977,0.9836321],"genre_scores_gemma":[0.008086557,0.0002123637,0.003515113,0.0002993398,0.00008064561,0.0001307475,0.001512174,0.000528543,0.9856345],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0586856,"threshold_uncertainty_score":0.08370787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152072184751893,"score_gpt":0.1770846060153239,"score_spread":0.155563884167805,"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."}}