{"id":"W4367153958","doi":"10.1177/23821205231171469","title":"Visual Data in Education and Health Research: Historical Reflections and Current Prognostications","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Education and Curricular Development","topic":"Empathy and Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Transformative learning; Curriculum; Value (mathematics); Mandate; Narrative; Field (mathematics); Qualitative research; Medical education; Engineering ethics; Sociology; Pedagogy; Public relations; Political science; Medicine; Social science; Engineering; Computer science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004647726,0.00009475868,0.000238088,0.0006674065,0.0001879972,0.00003241477,0.0001190158,0.00009922621,0.00003786686],"category_scores_gemma":[0.004407741,0.00007598356,0.00001571549,0.000816241,0.0001018328,0.0001441544,0.00009557644,0.0006967431,0.00000525307],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043874,"about_ca_system_score_gemma":0.01246819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006891061,"about_ca_topic_score_gemma":0.00004389243,"domain_scores_codex":[0.9976318,0.0001711547,0.0006448998,0.0002515636,0.001075879,0.0002247438],"domain_scores_gemma":[0.9982288,0.0001385906,0.0001665258,0.0001509245,0.0003406813,0.0009744092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001118645,0.002374407,0.01640814,0.000240584,0.00001678384,0.000003770915,0.01292288,4.937366e-8,0.000006762108,0.000466033,0.06214603,0.9054034],"study_design_scores_gemma":[0.0007534872,0.0002261557,0.4757883,0.00231087,0.00003332794,0.0006620305,0.02489596,0.0002075267,0.000008361055,0.0004837259,0.4945181,0.0001122097],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7691102,0.03792962,0.0003911905,0.1894052,0.0024322,0.0005736902,7.986224e-7,0.00002470656,0.0001324183],"genre_scores_gemma":[0.9403504,0.04599139,0.008467385,0.002721431,0.001404941,0.0001463032,0.0002816072,0.00002637144,0.0006102378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9052911,"threshold_uncertainty_score":0.9931302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2926041756132556,"score_gpt":0.5520052527052691,"score_spread":0.2594010770920135,"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."}}