{"id":"W4221054154","doi":"10.1201/9781003033691","title":"Design and Analysis of Experiments and Observational and Studies using R","year":2022,"lang":"en","type":"book","venue":"","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Observational study; Computer science; Mathematics; Statistics","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":[0.0001758033,0.0001254621,0.0003713308,0.0001992969,0.00008532454,0.00002546214,0.0001331658,0.00003932042,0.000008612234],"category_scores_gemma":[0.00004673772,0.0001149564,0.00001851093,0.0001339521,0.0001212562,0.0001299491,0.0006441873,0.00007275637,1.771193e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005566449,"about_ca_system_score_gemma":0.00005024737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004969327,"about_ca_topic_score_gemma":5.256333e-7,"domain_scores_codex":[0.999126,0.00003980554,0.0002128311,0.0003412039,0.0002030691,0.00007712308],"domain_scores_gemma":[0.9991376,0.0004692935,0.0001139181,0.0001647326,0.0000823985,0.00003209351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001325218,0.00002709497,0.0002217008,0.0001098654,0.001815496,0.00001339128,0.001285601,0.003315693,0.0004129549,0.9796975,0.001173618,0.01191387],"study_design_scores_gemma":[0.00006269723,0.00006788758,0.00009708889,0.00002534359,0.0002385189,0.000002297636,0.00001743216,0.7683639,0.0000849416,0.2306968,0.0001801726,0.000162906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001091957,0.002532497,0.9966969,0.00002174321,0.0000147612,0.0001225912,0.00001133991,0.00004629838,0.0004446215],"genre_scores_gemma":[0.0004674032,0.0003925935,0.9945301,0.00007947892,0.00000361373,0.00001134643,0.000007016742,0.000006399433,0.004502074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7650482,"threshold_uncertainty_score":0.4687785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3260269186799603,"score_gpt":0.4195618994271723,"score_spread":0.093534980747212,"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."}}