{"id":"W4246895430","doi":"10.2196/preprints.17051","title":"Wildfire-Like Effect of a WhatsApp Campaign to Mobilize a Group of Predominantly Health Professionals With a University Degree on a Health Issue: Infodemiology Study (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Sign (mathematics); Quarter (Canadian coin); Health professionals; Medicine; Political science; Psychology; Law; Health care; Computer science; History; World Wide Web; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001980533,0.0001558364,0.0002016103,0.0005132417,0.0009628251,0.001074922,0.0002712699,0.0006337629,0.004657855],"category_scores_gemma":[0.005563123,0.0001741646,0.0003177347,0.0005038814,0.0005223682,0.0007815809,0.0009180742,0.0008549381,0.0005664312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640232,"about_ca_system_score_gemma":0.000966443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005644218,"about_ca_topic_score_gemma":0.007910483,"domain_scores_codex":[0.998984,0.0004960607,0.00008698646,0.0001302101,0.0001029632,0.0001997361],"domain_scores_gemma":[0.9961364,0.001236234,0.001237715,0.0002134175,0.0002831494,0.00089319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006159393,0.001879263,0.9557961,0.00022268,0.00009123417,0.0005985467,0.0190788,0.00004476147,0.0004647216,0.0002333137,0.004018508,0.01695614],"study_design_scores_gemma":[0.00004388654,0.001376115,0.9668222,0.0001268138,0.00004538297,0.0002054032,0.02802057,0.0001207232,0.000187048,0.00006957087,0.002967972,0.00001428973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982182,0.00005955711,0.00005062381,0.0002420389,0.00002612123,0.00005692233,0.0001909952,0.000001834294,0.001153712],"genre_scores_gemma":[0.9978768,0.0001299639,0.0001139211,0.0003839443,0.00007482593,0.0001797821,0.000245846,0.000003634294,0.0009913606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005644218,"threshold_uncertainty_score":0.01558208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678420841391988,"score_gpt":0.3687946128735947,"score_spread":0.3320104044596748,"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."}}