{"id":"W2062696008","doi":"10.1109/asonam.2013.6785661","title":"ASONAM 2013 message from steering chair","year":2013,"lang":"en","type":"article","venue":"Advances in Social Networks Analysis and Mining","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Visibility; Quality (philosophy); Witness; Key (lock); Domain (mathematical analysis); Informatics; Social network analysis; Data science; World Wide Web; Computer security; Social media; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002240015,0.0001396095,0.0002712902,0.00008696828,0.0001379079,0.00006657607,0.0001582512,0.0001700631,0.00007584357],"category_scores_gemma":[0.00004291927,0.0001244347,0.000111782,0.0003380009,0.0001501558,0.00001992751,0.0001675941,0.0001202844,0.000003019607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001058078,"about_ca_system_score_gemma":0.00001426951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233904,"about_ca_topic_score_gemma":0.000950233,"domain_scores_codex":[0.9988396,0.0000452619,0.0002985666,0.000274875,0.0001847015,0.0003569493],"domain_scores_gemma":[0.9995618,0.00004228251,0.00009304524,0.0001364088,0.00005873355,0.0001077566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004335729,0.00008679953,0.1364952,0.00003904231,0.0008206182,0.000005081986,0.001067729,0.007471489,0.003551249,0.00006811798,0.003119339,0.847232],"study_design_scores_gemma":[0.002797427,0.0005384355,0.3530923,0.0001407121,0.0006916688,0.000002318496,0.01224004,0.4140797,0.00173146,0.001216162,0.2115427,0.001927025],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531618,0.01410984,0.0301781,0.0002339656,0.0001418422,0.0001622623,0.00001615271,0.00001142397,0.001984608],"genre_scores_gemma":[0.9838765,0.01298669,0.00199627,0.000167098,0.0005152177,0.00002531025,0.000159048,0.00001025503,0.0002635992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.845305,"threshold_uncertainty_score":0.50743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008278653655622175,"score_gpt":0.2769360833151185,"score_spread":0.2686574296594963,"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."}}