{"id":"W4224939629","doi":"10.2196/32645","title":"Population Size Estimation From Capture-Recapture Studies Using shinyrecap: Design and Implementation of a Web-Based Graphical User Interface","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Census and Population Estimation","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Disk formatting; Interface (matter); User interface; Population; Sample size determination; Graphical user interface; Web application; Bayesian probability; Data mining; Software; Mark and recapture; Information retrieval; Data science; Statistics; World Wide Web; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.001411193,0.0001542491,0.0003673744,0.0001296991,0.000328192,0.00004564477,0.00005842892,0.0000558718,0.0000523667],"category_scores_gemma":[0.0004082267,0.0001489291,0.0000332473,0.0003125058,0.00004039402,0.0001886621,0.00004906958,0.0001552471,1.207351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472198,"about_ca_system_score_gemma":0.0002000229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000679064,"about_ca_topic_score_gemma":0.0003360482,"domain_scores_codex":[0.997914,0.0006739353,0.0005925952,0.0002673994,0.000323109,0.0002289522],"domain_scores_gemma":[0.9982955,0.0008016981,0.0004842058,0.000157421,0.0001252745,0.0001358903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002531503,0.000213809,0.928879,0.001014319,0.000111942,0.000001569211,0.01230196,0.007427404,0.00021037,0.007313448,0.003396669,0.03887632],"study_design_scores_gemma":[0.00299672,0.0003279639,0.3774132,0.00005378565,0.00001005633,0.00001286001,0.003853492,0.5975731,0.00001116515,0.01558649,0.001732217,0.0004289087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534432,0.0007431644,0.04088109,0.003778633,0.0001741728,0.000830455,0.00008496561,0.00006099737,0.000003351816],"genre_scores_gemma":[0.9693099,0.00002666767,0.0300652,0.0003036102,0.0000264919,0.00008149626,0.000162119,0.00001763955,0.000006868387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5901457,"threshold_uncertainty_score":0.6073151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08357906078887184,"score_gpt":0.3977011149280721,"score_spread":0.3141220541392002,"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."}}