{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008066072,0.001793918,0.001129842,0.00200723,0.0003812152,0.001795644,0.003539312,0.001071291,0.03219943],"category_scores_gemma":[0.01572038,0.001199937,0.001401735,0.0009598681,0.0006583454,0.001539793,0.002530236,0.001452668,0.006665669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672111,"about_ca_system_score_gemma":0.001263839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920843,"about_ca_topic_score_gemma":0.001451159,"domain_scores_codex":[0.9978186,0.0008137353,0.0002037198,0.0006188094,0.0004203224,0.0001247255],"domain_scores_gemma":[0.9856285,0.01094893,0.0006366125,0.0008938668,0.001480723,0.0004114849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005586596,0.0008746668,0.01921953,0.004027974,0.0009254282,0.002249079,0.002557071,0.04329498,0.03758829,0.0130364,0.1590121,0.711628],"study_design_scores_gemma":[0.002900176,0.001099559,0.01630292,0.0007679045,0.0004710636,0.001327606,0.0003644797,0.7566063,0.05456794,0.01738784,0.1476798,0.0005244268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009147848,0.0001438705,0.8210592,0.0003076867,0.00007736171,0.001870298,0.00379871,0.1612947,0.002300229],"genre_scores_gemma":[0.05364121,0.0001911569,0.9177838,0.0004789665,0.00005252345,0.006884484,0.004690426,0.01279803,0.003479513],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03219943,"threshold_uncertainty_score":0,"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."}}