{"id":"W4408332555","doi":"10.47989/ir30iconf48244","title":"Preface, Organisation, Reviewers, and Table of content","year":2025,"lang":"en","type":"article","venue":"Information Research an international electronic journal","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Table of contents; Table (database); Computer science; Content (measure theory); Information retrieval; Data science; World Wide Web; Database; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003016986,0.00006678179,0.0001123164,0.0005683237,0.000231793,0.0004657346,0.000783059,0.00004294204,0.00004169383],"category_scores_gemma":[0.0004520913,0.00005643161,0.00002822311,0.0003758018,0.00005183818,0.003261571,0.0001271259,0.0004361065,0.00001951404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003253362,"about_ca_system_score_gemma":0.000859377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008201016,"about_ca_topic_score_gemma":0.00001031386,"domain_scores_codex":[0.9981904,0.0001531893,0.0004875219,0.00009648342,0.0007415173,0.0003308718],"domain_scores_gemma":[0.9980911,0.000089627,0.0001839765,0.0001939244,0.001363459,0.00007791305],"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":[0.00002621683,0.00004138619,0.002339336,0.00003926605,0.00007892805,6.728423e-7,0.001392369,0.00005536715,0.0009290993,0.9577392,0.005920599,0.0314376],"study_design_scores_gemma":[0.002313916,0.0008777357,0.00977828,0.0005364497,0.000006992512,0.0004529998,0.002550348,0.05344377,0.007781592,0.05745409,0.864503,0.0003008305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1364274,0.002856045,0.8084254,0.01049097,0.001538727,0.0007106857,0.00001404973,0.00009885088,0.03943786],"genre_scores_gemma":[0.9947345,0.001985586,0.00141088,0.0002325403,0.00006889829,0.0000136728,0.000009629132,0.000002725589,0.001541547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9002851,"threshold_uncertainty_score":0.4491089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472548035251839,"score_gpt":0.3606747921924436,"score_spread":0.3159493118399253,"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."}}