{"id":"W3095941521","doi":"10.1002/cjs.11581","title":"Semiparametric isotonic regression modelling and estimation for group testing data","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Isotonic regression; Covariate; Estimator; Semiparametric regression; Parametric statistics; Computation; Semiparametric model; Computer science; Statistics; Sample (material); Econometrics; Mathematics; Algorithm","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":[0.03023329,0.001652831,0.002656539,0.002084942,0.0008314513,0.002148801,0.005179556,0.002534241,0.004881031],"category_scores_gemma":[0.09266642,0.001190324,0.002621879,0.003122863,0.003379751,0.003531316,0.004042495,0.004198588,0.001243736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356217,"about_ca_system_score_gemma":0.00210962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004729985,"about_ca_topic_score_gemma":0.003929789,"domain_scores_codex":[0.9786835,0.01666741,0.0006378142,0.001982656,0.001465581,0.0005630194],"domain_scores_gemma":[0.9353992,0.05180315,0.00448338,0.005269459,0.00265599,0.0003887455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001794172,0.0001228717,0.007743713,0.0004038462,0.0003311826,0.0004212071,0.0007909451,0.3758705,0.001490595,0.4823118,0.003575459,0.1267585],"study_design_scores_gemma":[0.00002146162,0.00006572036,0.00096965,0.00003772042,0.00003202725,0.00007919054,0.00004560385,0.8636342,0.0004668726,0.132873,0.00174261,0.00003197369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002062209,0.00006917724,0.997237,0.0001240057,0.00001110674,0.00004656749,0.00005629967,0.00009010985,0.0003035079],"genre_scores_gemma":[0.2577322,0.0005084369,0.733404,0.0005424462,0.0001662343,0.001343507,0.0009422564,0.0002293205,0.005131579],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03023329,"threshold_uncertainty_score":0.1598908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2601159103798412,"score_gpt":0.3241766291522084,"score_spread":0.06406071877236719,"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."}}