{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00138881,0.0001653821,0.0002860517,0.00004978053,0.00006963059,0.00000943033,0.0001715298,0.0003526378,0.0001672292],"category_scores_gemma":[0.03212636,0.00008129106,0.00007496947,0.000121562,0.00007052397,0.00007631339,0.00008005862,0.0003881443,0.00001232694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003814124,"about_ca_system_score_gemma":0.00001854369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.395651e-7,"about_ca_topic_score_gemma":5.698288e-7,"domain_scores_codex":[0.9983872,0.0006087332,0.0002350968,0.0002932653,0.0002067035,0.0002690686],"domain_scores_gemma":[0.9842603,0.01498106,0.00009949378,0.0004215862,0.0001117709,0.0001257918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001279031,0.00002232024,0.00001822474,0.00001487428,0.000006959775,0.000007412925,0.0000200339,5.787328e-8,0.005805597,0.4683079,0.004543217,0.5212407],"study_design_scores_gemma":[0.000267676,0.00003534904,0.00009031573,0.0001224791,0.00002529993,0.000006770709,0.000006345822,0.00004360333,0.02637529,0.9043263,0.06855392,0.000146696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003048089,0.0007416207,0.9920127,0.000837388,0.0006544849,0.000135531,0.00002301196,0.0001193987,0.005171021],"genre_scores_gemma":[0.002752122,0.000220089,0.9940487,0.0002839797,0.0001998373,0.00001843677,7.035603e-7,0.00003379035,0.002442314],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.521094,"threshold_uncertainty_score":0.9760265,"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."}}