{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006970613,0.0002708309,0.0004215566,0.0001783284,0.0001690566,0.0001332053,0.0006652511,0.000292333,0.0004458245],"category_scores_gemma":[0.0002437668,0.0002446229,0.0001971768,0.0001673261,0.0003105798,0.00002342625,0.0002378709,0.0002618244,0.00003699563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003353088,"about_ca_system_score_gemma":0.00005003272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010588,"about_ca_topic_score_gemma":0.001071094,"domain_scores_codex":[0.9978358,0.0001475685,0.0004923441,0.000573379,0.0005238858,0.0004270488],"domain_scores_gemma":[0.9988487,0.000136219,0.0002641104,0.0003532294,0.0002242719,0.0001734406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001250766,0.0007337067,0.1649095,0.00009706066,0.002905037,0.00001818591,0.001463113,0.0110708,0.01055761,0.01233452,0.2243278,0.5703319],"study_design_scores_gemma":[0.004157619,0.001149716,0.061505,0.0002562457,0.0005068657,0.000003945883,0.002348393,0.4245527,0.002118954,0.005559699,0.4957424,0.002098396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555471,0.005255188,0.1591483,0.004184375,0.004415042,0.0006052704,0.0004678627,0.00007733571,0.07029951],"genre_scores_gemma":[0.9806235,0.01360638,0.001636732,0.0005167877,0.001759434,0.00002339974,0.0006049754,0.00001875758,0.001209971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5682335,"threshold_uncertainty_score":0.9975433,"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."}}