{"id":"W2789727702","doi":"10.2196/publichealth.7598","title":"Relationships Among Tweets Related to Radiation: Visualization Using Co-Occurring Networks","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Visualization; Fukushima Nuclear Accident; Environmental health; Risk communication; Internet privacy; Computer security; Business; Computer science; Medicine; Nuclear power plant; Data mining; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004679457,0.00073083,0.0002156655,0.007774332,0.0006045183,0.001068484,0.0003459319,0.0004737376,0.003164235],"category_scores_gemma":[0.002982629,0.0001739524,0.0004674739,0.005062164,0.0002234905,0.001548265,0.001249698,0.0004599425,0.0004563753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573761,"about_ca_system_score_gemma":0.0003608294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006881564,"about_ca_topic_score_gemma":0.009862634,"domain_scores_codex":[0.9996191,0.0000990936,0.00004842284,0.0001024115,0.00008739877,0.00004364651],"domain_scores_gemma":[0.997942,0.001195062,0.0004370552,0.00009400975,0.0002061107,0.0001256484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002526078,0.0003518801,0.2986329,0.005117948,0.0008095434,0.005421051,0.03062239,0.03419476,0.0642627,0.02497821,0.06625606,0.4668263],"study_design_scores_gemma":[0.0000840696,0.0002211323,0.3848215,0.0008036837,0.0004670736,0.002773131,0.01933676,0.3882836,0.02129957,0.02577425,0.1558734,0.0002619813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8015289,0.004106666,0.09884698,0.00233891,0.0004688919,0.0005180874,0.06446972,0.00850998,0.01921187],"genre_scores_gemma":[0.8721671,0.001480856,0.1053188,0.0001065978,0.0001722818,0.0004533744,0.01739501,0.0002273039,0.002678843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007774332,"threshold_uncertainty_score":0.01368302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08361752436911286,"score_gpt":0.4054440183299911,"score_spread":0.3218264939608782,"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."}}