{"id":"W2745108016","doi":"10.2196/humanfactors.7899","title":"Usability Assessment of the Missouri Cancer Registry’s Published Interactive Mapping Reports: Round One","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion","keywords":"Usability; Cancer registry; Computer science; Library science; Data science; Cancer; Human–computer interaction; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001271936,0.0001254144,0.0002730746,0.0000776124,0.002856019,0.0005401284,0.0006610384,0.00009186819,0.0003030856],"category_scores_gemma":[0.000829134,0.00009125398,0.000166147,0.0001494788,0.0008167021,0.001126263,0.0002546278,0.0002254892,9.971909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003737468,"about_ca_system_score_gemma":0.0002019427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03509406,"about_ca_topic_score_gemma":0.01566781,"domain_scores_codex":[0.9980436,0.0001353842,0.0005584473,0.0002227892,0.0007813278,0.0002584436],"domain_scores_gemma":[0.9965232,0.00009284476,0.001863457,0.0009474548,0.0005056845,0.00006734536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[9.811212e-7,0.0000418122,0.9565365,0.00003468324,0.00007536617,3.99656e-7,0.04016361,0.0000012911,0.00006306012,0.001953542,0.001051917,0.00007688843],"study_design_scores_gemma":[0.0000894473,0.000008091472,0.9505674,0.0001014044,0.000009708006,2.172254e-7,0.02709297,0.000001084859,0.00004404308,0.0008768014,0.02110838,0.0001005074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976331,0.00001089162,0.000009036922,0.001354921,0.0008626825,0.0006133668,0.00001242022,0.00003476432,0.09946881],"genre_scores_gemma":[0.997158,0.000004408387,0.00001938151,0.00002452063,0.0001288134,0.00009379342,0.000002866964,0.000005511581,0.002562735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09952487,"threshold_uncertainty_score":0.9984421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07947083203959672,"score_gpt":0.4043258777980886,"score_spread":0.3248550457584919,"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."}}