{"id":"W2101434317","doi":"10.1186/1471-2288-12-135","title":"Estimation methods with ordered exposure subject to measurement error and missingness in semi-ecological design","year":2012,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Calgary","funders":"University of Birmingham","keywords":"Missing data; Statistics; Estimation; Subject (documents); Research design; Computer science; Observational error; Econometrics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05993408,0.001730338,0.00268626,0.001790502,0.0007577008,0.001474304,0.003836658,0.001817294,0.004303152],"category_scores_gemma":[0.1313642,0.001163003,0.00301972,0.002051809,0.002609287,0.002184161,0.002961928,0.001817876,0.0004738794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218893,"about_ca_system_score_gemma":0.002791898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005233122,"about_ca_topic_score_gemma":0.003113108,"domain_scores_codex":[0.9254248,0.06561477,0.002295387,0.003657391,0.00250743,0.0005001875],"domain_scores_gemma":[0.838899,0.136777,0.008092149,0.01057765,0.005038779,0.0006153494],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001456337,0.0004748241,0.03531088,0.003069745,0.002794654,0.0007828115,0.001768914,0.4514765,0.001618543,0.2380941,0.003108037,0.2600447],"study_design_scores_gemma":[0.0003962634,0.0006269937,0.00672524,0.0003410445,0.0003408443,0.0002860198,0.0002045378,0.7872726,0.0007968165,0.1987817,0.004114142,0.0001138676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006421089,0.0002423891,0.9925635,0.0000935764,0.00002703505,0.0003112471,0.0001096157,0.00007624253,0.0001553877],"genre_scores_gemma":[0.1679963,0.0005518362,0.8267884,0.0002350384,0.0000728463,0.002748129,0.0006687937,0.00005482317,0.0008838213],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9400659,"threshold_uncertainty_score":0.3169655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7773759964735921,"score_gpt":0.6186229033009765,"score_spread":0.1587530931726157,"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."}}