{"id":"W2948497811","doi":"","title":"Applied regression analysis and generalized linear models, 2nd ed.","year":2008,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":183,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Linear regression; Proper linear model; Regression analysis; Linear model; Mathematics; Generalized linear model; Statistics; Computer science; Bayesian multivariate linear regression; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001306099,0.00009172218,0.0002424903,0.00006426969,0.0001343544,0.000008278296,0.00005962133,0.00005187224,0.0002908964],"category_scores_gemma":[0.00007290126,0.00006284821,0.00005110227,0.0002837075,0.00005669145,0.00002286023,0.00003849269,0.00005919971,0.000008026448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000645457,"about_ca_system_score_gemma":0.000007955146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000346888,"about_ca_topic_score_gemma":0.000006465692,"domain_scores_codex":[0.9993407,0.00003082844,0.0001914445,0.000199126,0.000122532,0.0001154315],"domain_scores_gemma":[0.9992173,0.0003606704,0.00004919514,0.000250879,0.00003394194,0.00008806864],"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":[0.00001147122,0.0000720015,0.0001654572,0.00001243179,0.000112408,0.000001925117,0.0001199791,0.00003722581,0.001346901,0.9883249,0.004866748,0.004928545],"study_design_scores_gemma":[0.0004607653,0.00001213923,0.0008701608,0.000004552608,0.0004203804,0.000006021151,0.00004752197,0.1690055,0.002631121,0.8252134,0.001123382,0.0002050578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06949764,0.00003692118,0.9186021,0.0001220599,0.000006620285,0.0001217143,0.00001087085,0.00006564845,0.01153642],"genre_scores_gemma":[0.1270403,0.0001374191,0.8713868,0.00006770186,0.00003446782,0.00003488508,0.000008770373,0.000009998911,0.001279668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1689683,"threshold_uncertainty_score":0.3185111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407686489088452,"score_gpt":0.4000305764926803,"score_spread":0.2592619275838351,"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."}}