{"id":"W3032927822","doi":"10.1007/s13721-020-00241-y","title":"Using Twitter for diabetes community analysis","year":2020,"lang":"en","type":"article","venue":"Network Modeling Analysis in Health Informatics and Bioinformatics","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University; Lakehead University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Social media; Computer science; Hash function; Data science; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006247885,0.0001950669,0.0008462347,0.0005764776,0.001592494,0.0001884084,0.0002915479,0.0001956502,0.00001271223],"category_scores_gemma":[0.001480347,0.0001985229,0.0002428031,0.005420753,0.00009741685,0.000445655,0.00007577948,0.000472014,0.000002463213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00028273,"about_ca_system_score_gemma":0.0004713232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00385996,"about_ca_topic_score_gemma":0.00204517,"domain_scores_codex":[0.9959934,0.0003796643,0.002234507,0.0001034107,0.0004509328,0.0008380706],"domain_scores_gemma":[0.9965258,0.001563734,0.0008862453,0.0002602723,0.0002536796,0.0005102173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007994223,0.00001807899,0.06954198,0.000598812,0.0004022417,1.73793e-8,0.1486699,0.7756671,2.496289e-8,0.0002802959,0.0000944077,0.004719164],"study_design_scores_gemma":[0.000174748,0.00004932734,0.0003191628,0.00005098325,0.0007087261,2.694444e-8,0.02492791,0.9719201,1.201903e-7,0.0002615518,0.001400346,0.000186985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4363175,0.0002378552,0.5572968,0.003968528,0.0003615243,0.001452375,0.00003112658,0.00008466145,0.0002496775],"genre_scores_gemma":[0.7452387,0.0007036705,0.2457247,0.007594164,0.000424111,0.0001129232,0.0001884748,0.00001204021,0.00000127326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3115721,"threshold_uncertainty_score":0.9997073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.312506715853076,"score_gpt":0.4312115775760202,"score_spread":0.1187048617229443,"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."}}