{"id":"W4205471046","doi":"10.1093/llc/fqab108","title":"An approach to complex texts in multiple documents","year":2022,"lang":"en","type":"article","venue":"Digital Scholarship in the Humanities","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Arts and Humanities Research Council","keywords":"Computer science; Inscribed figure; Hierarchy; Architecture; World Wide Web; Transcription (linguistics); JSON; Information retrieval; Linguistics; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006386118,0.000603192,0.0008071493,0.003743789,0.006113335,0.01273748,0.004344052,0.00295964,0.01482332],"category_scores_gemma":[0.016028,0.0008992579,0.001486647,0.005180512,0.01190573,0.02096424,0.01098257,0.004978283,0.002523257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006670679,"about_ca_system_score_gemma":0.004028977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809546,"about_ca_topic_score_gemma":0.008015921,"domain_scores_codex":[0.9918011,0.003948282,0.0005549802,0.001087126,0.002258112,0.0003503888],"domain_scores_gemma":[0.9881707,0.005681268,0.0006619579,0.002978316,0.001834024,0.0006737777],"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":[0.00002196628,0.00002129764,0.0002314247,0.00009876124,0.000009050805,0.0002418058,0.007961394,0.001440122,0.0006778446,0.9598597,0.00284762,0.02658908],"study_design_scores_gemma":[0.00002628408,0.00002524206,0.0002165971,0.0002315249,0.00002620404,0.0005359761,0.00468118,0.0222586,0.002297959,0.643877,0.3257848,0.00003870587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01146073,0.000797481,0.9378643,0.005493857,0.0003076167,0.0001986227,0.0002226576,0.001047278,0.0426074],"genre_scores_gemma":[0.1506214,0.0006610081,0.817327,0.0008080243,0.0002952137,0.0003370549,0.0004396545,0.0008397689,0.02867085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01482332,"threshold_uncertainty_score":0.04958892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1365965162691597,"score_gpt":0.2733653513359369,"score_spread":0.1367688350667772,"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."}}