{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03119312,0.0009552653,0.0008127115,0.002388831,0.001233238,0.002179434,0.001527609,0.0006267987,0.003355936],"category_scores_gemma":[0.108176,0.0005579633,0.001164071,0.002042818,0.0008125443,0.001558452,0.002116947,0.0006037923,0.0008953217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438239,"about_ca_system_score_gemma":0.002538529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674078,"about_ca_topic_score_gemma":0.007761164,"domain_scores_codex":[0.976245,0.01394469,0.003465305,0.001522698,0.004140625,0.0006817731],"domain_scores_gemma":[0.7992768,0.1504854,0.01339439,0.01123745,0.02335027,0.002255671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008895794,0.007516335,0.3020439,0.00818926,0.000837363,0.001767374,0.0837267,0.00558488,0.01738006,0.0004739058,0.01793876,0.5456457],"study_design_scores_gemma":[0.001760229,0.025889,0.8088186,0.002161914,0.001447325,0.00183731,0.04710231,0.0225703,0.0341102,0.0008068827,0.05252435,0.0009714535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853283,0.0002572936,0.005222847,0.000253469,0.0000462341,0.003426323,0.0009521458,0.0008980627,0.003615288],"genre_scores_gemma":[0.9642807,0.0003421088,0.0267891,0.0001740962,0.00004953788,0.005437378,0.001189883,0.0001767478,0.001560293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03119312,"threshold_uncertainty_score":0.1649669,"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."}}