{"id":"W3047295947","doi":"10.1002/cjs.11566","title":"Empirical and conditional likelihoods for two‐phase studies","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Covariate; Estimator; Statistics; Mathematics; Econometrics; Parametric statistics; Regression analysis; Empirical likelihood","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09807772,0.0009856443,0.001875955,0.002579825,0.0005857247,0.003015104,0.003514633,0.003111051,0.01149636],"category_scores_gemma":[0.3295748,0.001040669,0.002187839,0.002824764,0.003570869,0.005478739,0.003510393,0.003592662,0.000809398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521925,"about_ca_system_score_gemma":0.001640322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648183,"about_ca_topic_score_gemma":0.0008912617,"domain_scores_codex":[0.9572406,0.03760725,0.001037474,0.002065978,0.001667817,0.0003807895],"domain_scores_gemma":[0.5698586,0.4029176,0.009544272,0.01232666,0.004208077,0.001144749],"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":[0.000767328,0.0001810494,0.01573824,0.0007110844,0.0006230823,0.0006161046,0.001066692,0.09829956,0.0009292961,0.7894364,0.003453584,0.08817755],"study_design_scores_gemma":[0.0002682248,0.0002185344,0.004859529,0.0002446168,0.0001784429,0.0004275909,0.0001686251,0.4299204,0.0007200384,0.5577321,0.005189824,0.00007212537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02812716,0.0008980533,0.9674109,0.0009277313,0.00005476128,0.0002638527,0.0004398043,0.0001745276,0.001703105],"genre_scores_gemma":[0.5520483,0.001109935,0.4387555,0.0007059494,0.0001997889,0.001764927,0.001378417,0.0002012892,0.00383587],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09807772,"threshold_uncertainty_score":0.5186908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3189474729350864,"score_gpt":0.4673435364813731,"score_spread":0.1483960635462867,"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."}}