{"id":"W1989245390","doi":"10.1002/cjs.10114","title":"Fitting regression models with response‐biased samples","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Statistics; Econometrics; Regression; Parametric statistics; Regression analysis; Missing data; Distribution (mathematics); Mathematics; Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009486683,0.0001427305,0.0003023055,0.0001789775,0.0001372167,0.00003931439,0.0002106068,0.00006223172,0.000510122],"category_scores_gemma":[0.005458825,0.0001007357,0.00003224928,0.0001237303,0.0001606581,0.00009235972,0.00000829769,0.0002634815,0.000003391712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008612076,"about_ca_system_score_gemma":0.001169157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209418,"about_ca_topic_score_gemma":0.002900903,"domain_scores_codex":[0.9986452,0.0002312684,0.0004823529,0.0001082533,0.0002226528,0.0003102538],"domain_scores_gemma":[0.996133,0.00214308,0.0003938646,0.0001843205,0.0005015165,0.0006442117],"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":[0.0006528212,0.00003854928,0.002024949,0.00008685789,0.00007755074,0.00144882,0.004717934,0.00001984772,0.0001049981,0.9485704,0.01308636,0.02917087],"study_design_scores_gemma":[0.0005182725,0.0006636407,0.006084055,0.0004969626,0.00009399383,0.000229124,0.0007165364,0.001584268,0.0003743299,0.9883744,0.0006392586,0.0002251994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03537527,0.0000546333,0.9622129,0.00006069846,0.0001408592,0.0000703276,0.0003863491,0.000006497137,0.001692487],"genre_scores_gemma":[0.2985716,0.00000482386,0.7012216,0.0000649754,0.00003614785,8.765705e-7,0.000001171003,0.00001949424,0.00007919373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2631964,"threshold_uncertainty_score":0.6535118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2921036376110321,"score_gpt":0.3385530047874309,"score_spread":0.0464493671763988,"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."}}