{"id":"W4240928039","doi":"10.1093/llc/fqn025","title":"Introduction","year":2008,"lang":"en","type":"article","venue":"Literary and Linguistic Computing","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Siemens; Library science; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002294203,0.001105351,0.0008957197,0.003124955,0.002329129,0.01162215,0.002197919,0.003538843,0.5904587],"category_scores_gemma":[0.01087257,0.0004470754,0.000946465,0.002839002,0.001112272,0.006128968,0.004843938,0.003038106,0.467171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002718266,"about_ca_system_score_gemma":0.003385586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298804,"about_ca_topic_score_gemma":0.001657448,"domain_scores_codex":[0.9966253,0.0004385242,0.0002533701,0.0008066919,0.001563556,0.0003126299],"domain_scores_gemma":[0.9944001,0.0007169573,0.0003193069,0.0008526738,0.002617037,0.001093826],"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":[0.00003298546,0.00002394645,0.0001719009,0.0002379895,0.000005544299,0.00006440611,0.0001425991,0.00003294076,0.0002407396,0.01297877,0.9132732,0.07279497],"study_design_scores_gemma":[0.000002510877,0.000006069676,0.0001263412,0.00008963837,0.000001281726,0.00003672879,0.00005010039,0.000008616365,0.00004223497,0.001116384,0.9985171,0.000003030065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000935536,0.01218924,0.002883557,0.03417069,0.1053448,0.0003234123,0.005871046,0.001292133,0.8369896],"genre_scores_gemma":[0.005099439,0.006457848,0.001554597,0.00976539,0.01979249,0.0002134604,0.00616387,0.0008073087,0.9501457],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4095413,"threshold_uncertainty_score":0.5841609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934147297857654,"score_gpt":0.2121400621004852,"score_spread":0.1827985891219086,"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."}}