{"id":"W2081737175","doi":"10.1016/j.jbi.2004.12.006","title":"A framework for capturing the interactions between laypersons’ understanding of disease, information gathering behaviors, and actions taken during an epidemic","year":2005,"lang":"en","type":"article","venue":"Journal of Biomedical Informatics","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"U.S. National Library of Medicine","keywords":"Narrative; Interpretation (philosophy); Adaptation (eye); Event (particle physics); Phenomenon; Data science; Data collection; Qualitative research; Disease; Psychology; Computer science; Medicine; Sociology; Epistemology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003947463,0.001101666,0.0006101507,0.002595785,0.0013952,0.003289804,0.001779044,0.002132938,0.003237212],"category_scores_gemma":[0.01665353,0.0006962795,0.001196571,0.002192028,0.001150742,0.00408939,0.002470025,0.00192784,0.0004828322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315053,"about_ca_system_score_gemma":0.003419613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04678573,"about_ca_topic_score_gemma":0.03699883,"domain_scores_codex":[0.9979881,0.001014161,0.0001455365,0.0003972676,0.0002432035,0.0002117784],"domain_scores_gemma":[0.9926305,0.005099264,0.0008410405,0.0005171872,0.0005771633,0.0003347326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004353309,0.001707832,0.1094928,0.0004277286,0.0007291141,0.001641088,0.01608604,0.274584,0.007257886,0.4377926,0.007500015,0.1423455],"study_design_scores_gemma":[0.0000376546,0.000153372,0.009120853,0.00006473076,0.0001201127,0.0002529251,0.002892695,0.881207,0.0006956141,0.0983616,0.007022677,0.00007077833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08390094,0.0004160827,0.9040323,0.00185812,0.00005900865,0.0003515235,0.001892957,0.0005656614,0.006923375],"genre_scores_gemma":[0.5875266,0.0003043999,0.4078866,0.0001766267,0.00004109662,0.0005766508,0.001382911,0.00003946302,0.002065566],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04678573,"threshold_uncertainty_score":0.09302682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307003766640573,"score_gpt":0.4029289934541339,"score_spread":0.2722286167900766,"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."}}