{"id":"W7094766176","doi":"","title":"[CSLA meeting guests seated in the forum of Willis Library]","year":2015,"lang":"en","type":"other","venue":"University of North Texas Digital Library (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); National library; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004887932,0.000663729,0.0002566815,0.001022992,0.005353352,0.004426461,0.0007070363,0.001181347,0.6448725],"category_scores_gemma":[0.001393567,0.0004239965,0.0003253592,0.0009353609,0.000473499,0.002130264,0.002603986,0.001972018,0.4056019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253206,"about_ca_system_score_gemma":0.002002168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451226,"about_ca_topic_score_gemma":0.08599802,"domain_scores_codex":[0.9997775,0.00002632926,0.000008031716,0.00002995147,0.00008058697,0.00007768931],"domain_scores_gemma":[0.9990933,0.00004405757,0.00002614395,0.00004796646,0.0003063125,0.0004821957],"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":[0.000006935691,0.00000531386,0.00003522752,0.000008812441,2.03797e-7,0.00002523113,0.00003413206,0.000006065396,0.00004552263,0.0004275179,0.9960426,0.003362421],"study_design_scores_gemma":[0.000002320831,0.000003007448,0.0003065651,0.00001456248,3.58219e-7,0.00002238904,0.0001768542,0.000014377,0.00004598201,0.00004741491,0.9993629,0.000003296999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009983411,0.0003181003,0.0003203739,0.003078122,0.005627954,0.00009253698,0.001669912,0.001254483,0.9866402],"genre_scores_gemma":[0.002669561,0.0001588377,0.0001186536,0.0004986523,0.0003444869,0.00003302556,0.0004506259,0.0003367868,0.9953892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3551275,"threshold_uncertainty_score":0.5065462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102521283207036,"score_gpt":0.1736114069258368,"score_spread":0.1625861940937664,"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."}}