{"id":"W4411204242","doi":"10.1145/3736244.3736246","title":"Call for Papers: 25th ACM Symposium on Document Engineering (DocEng 2025)","year":2025,"lang":"en","type":"paratext","venue":"ACM SIGWEB Newsletter","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Computer science; Data science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003518737,0.0007575871,0.0009401647,0.001114495,0.0003443238,0.002068947,0.00781705,0.0003720642,0.004893569],"category_scores_gemma":[0.007641534,0.0005980963,0.0005742276,0.001049523,0.00007174094,0.0002563362,0.003990084,0.000669421,0.01863061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680995,"about_ca_system_score_gemma":0.0001772741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006843622,"about_ca_topic_score_gemma":0.000009351515,"domain_scores_codex":[0.992447,0.0001742095,0.001385578,0.002735506,0.002208228,0.00104946],"domain_scores_gemma":[0.98589,0.005203013,0.0004621118,0.007930567,0.0002781442,0.000236184],"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":[0.00003561022,0.00004618498,0.00001045631,0.0000943562,0.0001140438,0.00001344462,0.0001138005,0.00585379,0.0003270474,0.0002109448,0.9803929,0.01278737],"study_design_scores_gemma":[0.0005888686,0.00009900425,0.00004854829,0.0003409052,0.00008219036,0.000001497073,0.00004762243,0.00195855,0.0003056306,0.0003978232,0.9954929,0.0006364057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004023493,0.00189904,0.0399132,0.1971462,0.1459327,0.00799998,0.002195806,0.0007773268,0.6001123],"genre_scores_gemma":[0.00199034,0.00008375756,0.007753527,0.02103031,0.002640453,0.000254967,0.0006399584,0.00007861334,0.9655281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3654158,"threshold_uncertainty_score":0.999647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07321811042120357,"score_gpt":0.3663704469431484,"score_spread":0.2931523365219448,"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."}}