{"id":"W2044924592","doi":"10.1109/asonam.2014.6921543","title":"Message from HIBIBI 2014 chairs","year":2014,"lang":"en","type":"article","venue":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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":"Health informatics; Informatics; Computer science; Data science; Translational bioinformatics; Health care; Genome; Genomics; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003665873,0.0009452961,0.001247488,0.0007664812,0.003617268,0.006122801,0.001524706,0.01236621,0.06664021],"category_scores_gemma":[0.01627615,0.0004453137,0.0007678318,0.0006137947,0.001365523,0.003758246,0.002904577,0.01633156,0.05012303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889533,"about_ca_system_score_gemma":0.004490175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005218811,"about_ca_topic_score_gemma":0.006923341,"domain_scores_codex":[0.9975777,0.0004157421,0.000127037,0.0004803229,0.001064242,0.0003350575],"domain_scores_gemma":[0.9936971,0.001149277,0.0002484412,0.0002194546,0.002683144,0.002002629],"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":[0.00002136678,0.000006944369,0.00003861585,0.00002104397,0.000001388863,0.00002036223,0.00001830032,0.000004974052,0.00002558647,0.0003583932,0.9971102,0.002372786],"study_design_scores_gemma":[0.00000947624,0.0000104518,0.0002532132,0.00007240919,0.000003192254,0.00005790785,0.0001000204,0.00002522476,0.00009839453,0.0004736675,0.9988849,0.00001123592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002958826,0.004736228,0.000236278,0.7235284,0.2559679,0.00004302671,0.0005339906,0.0001868535,0.01447149],"genre_scores_gemma":[0.005073783,0.00394219,0.0003879732,0.7270054,0.08899634,0.0001223415,0.0004670028,0.000246841,0.1737582],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.06664021,"threshold_uncertainty_score":0.2229337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814939940400933,"score_gpt":0.3190299447875395,"score_spread":0.3008805453835302,"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."}}