{"id":"W1986339999","doi":"10.1007/s13187-015-0796-1","title":"Tweeting About Prostate and Testicular Cancers: Do Twitter Conversations and the 2013 Movember Canada Campaign Objectives Align?","year":2015,"lang":"en","type":"article","venue":"Journal of Cancer Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Movember Canada","keywords":"Medicine; Social media; Prostate cancer; Gynecology; Internal medicine; Cancer; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003084309,0.0002079951,0.0004963278,0.001798947,0.005793541,0.006355194,0.001481814,0.002162683,0.008871921],"category_scores_gemma":[0.02201142,0.0003545503,0.0004148718,0.00456357,0.001590183,0.002649713,0.003516992,0.003995848,0.001255012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01963034,"about_ca_system_score_gemma":0.04467487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9424441,"about_ca_topic_score_gemma":0.9770298,"domain_scores_codex":[0.9964065,0.0004581096,0.0001066907,0.0002680637,0.001159602,0.001600974],"domain_scores_gemma":[0.980093,0.003790256,0.003628461,0.0004033502,0.00607393,0.006010995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005632497,0.0003483427,0.8117271,0.0002238409,0.0001878032,0.0001609491,0.04327129,0.0002553531,0.0004463641,0.003634502,0.07579313,0.06338806],"study_design_scores_gemma":[0.00001399398,0.00003024784,0.9217865,0.0001810236,0.00005703091,0.00001656623,0.0473697,0.0001621707,0.0001161682,0.00027489,0.02994246,0.00004914042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8099162,0.002682128,0.0002794649,0.1141498,0.001875086,0.0001391611,0.009084979,0.00005447131,0.0618187],"genre_scores_gemma":[0.9745041,0.001539286,0.0001931733,0.009328292,0.0006046295,0.0001085785,0.002279886,0.00008170723,0.01136036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05755591,"threshold_uncertainty_score":0.1424288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03632994196793503,"score_gpt":0.4030428167792361,"score_spread":0.366712874811301,"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."}}