{"id":"W2344747773","doi":"10.1038/nmeth.3854","title":"Regression diagnostics","year":2016,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Regression; Residual; Regression analysis; Linear regression; Computer science; Statistics; Mathematics; Algorithm","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":[0.004022199,0.001622605,0.001518266,0.004022425,0.0006692762,0.002721903,0.002095097,0.00203194,0.03649548],"category_scores_gemma":[0.03106897,0.0007255974,0.001466793,0.001809333,0.0009527249,0.002505309,0.001909117,0.003098299,0.02485353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009432309,"about_ca_system_score_gemma":0.002083273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409095,"about_ca_topic_score_gemma":0.00115076,"domain_scores_codex":[0.9957533,0.001626457,0.000201268,0.0009977537,0.001209049,0.0002121967],"domain_scores_gemma":[0.9896275,0.005527031,0.0007649249,0.002030801,0.00183549,0.0002142017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002800364,0.0001727976,0.005873067,0.0004349147,0.0002010859,0.0002591027,0.0001387767,0.02776654,0.004973036,0.4232331,0.05689187,0.4797758],"study_design_scores_gemma":[0.0001400504,0.0002026914,0.004517398,0.0003246069,0.0001808992,0.0007690611,0.0001390138,0.4489389,0.01214951,0.413132,0.1194066,0.00009930238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005827773,0.0009981024,0.952461,0.00129349,0.0006187233,0.000167475,0.001786538,0.005212054,0.03163481],"genre_scores_gemma":[0.309612,0.001854041,0.5475841,0.002532014,0.001824761,0.00085318,0.007480526,0.004036286,0.1242231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03649548,"threshold_uncertainty_score":0.1220895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258954361455708,"score_gpt":0.5656822055050522,"score_spread":0.4397867693594815,"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."}}