{"id":"W3015703591","doi":"10.5539/ijsp.v9n3p1","title":"A Paradox in Bland-Altman Analysis and a Binary Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normality; Null (SQL); Mathematics; Null hypothesis; Sample size determination; Statistics; Statistical hypothesis testing; Parameter space; Bernoulli's principle; Space (punctuation); Statistical power; Binary number; Alternative hypothesis; Applied mathematics; Computer science; Data mining; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3252296,0.001575365,0.003082596,0.00498611,0.003262721,0.009914456,0.005195215,0.005079124,0.002789794],"category_scores_gemma":[0.4980157,0.001758374,0.002221119,0.005383794,0.02180174,0.01080335,0.006659941,0.01249978,0.001142741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005017002,"about_ca_system_score_gemma":0.006135294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002984283,"about_ca_topic_score_gemma":0.001917621,"domain_scores_codex":[0.6282451,0.2967558,0.01415403,0.01894055,0.04047113,0.001433457],"domain_scores_gemma":[0.4770339,0.4362129,0.02036052,0.0386826,0.02545299,0.002257142],"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":[0.0014259,0.0001944996,0.008415561,0.001681489,0.001304252,0.0003231065,0.00530976,0.008085113,0.001865403,0.7242402,0.01471731,0.2324375],"study_design_scores_gemma":[0.0003097795,0.0004431504,0.006459122,0.0007659863,0.0002293583,0.0007573923,0.0007897344,0.03332498,0.002133149,0.9217663,0.03274744,0.000273574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01148545,0.01158251,0.9459164,0.0185738,0.002304848,0.0004339172,0.0001719347,0.0006833514,0.008847831],"genre_scores_gemma":[0.2515655,0.002684962,0.7278305,0.01120637,0.001543319,0.00198878,0.0001311391,0.0007425413,0.00230691],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3252296,"threshold_uncertainty_score":0.832112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075592636318067,"score_gpt":0.3837995625742655,"score_spread":0.2762402989424588,"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."}}