{"id":"W4250687446","doi":"10.1002/9781118445112.stat01499","title":"Estimating Functions","year":2016,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Biostatistics; Sampling (signal processing); Empirical likelihood; Computer science; Mathematics; Statistics; Estimator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01602577,0.002169132,0.002150695,0.004501704,0.000676949,0.004601447,0.002721648,0.002267356,0.03833335],"category_scores_gemma":[0.07567026,0.0006051378,0.001856245,0.00466248,0.001525736,0.00408575,0.002263945,0.002962677,0.01840948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021264,"about_ca_system_score_gemma":0.003339898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805083,"about_ca_topic_score_gemma":0.00201269,"domain_scores_codex":[0.9836438,0.01128562,0.0007453986,0.001901343,0.00197364,0.0004501737],"domain_scores_gemma":[0.9673932,0.02473102,0.00150883,0.002940405,0.003202539,0.0002239453],"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":[0.00006056577,0.00008040245,0.005480602,0.001082804,0.0003520779,0.0001707098,0.0002487248,0.03868569,0.0003043785,0.5296913,0.04801419,0.3758285],"study_design_scores_gemma":[0.00004086407,0.00007668482,0.002889401,0.001621418,0.0002393168,0.0004786521,0.0002411184,0.1072049,0.0009498631,0.7337094,0.152474,0.00007443663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002264679,0.004667642,0.9679068,0.001984327,0.0003182603,0.0002380343,0.002770878,0.0005579591,0.01929132],"genre_scores_gemma":[0.1803149,0.02079086,0.7318115,0.002026601,0.0016659,0.002031936,0.01609402,0.001184406,0.04408001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03833335,"threshold_uncertainty_score":0.1282378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186915270325872,"score_gpt":0.4192720527985295,"score_spread":0.3005805257659422,"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."}}