{"id":"W2410980890","doi":"10.1097/j.pain.0000000000000180","title":"Reply to “Statistical analysis regarding","year":2015,"lang":"en","type":"letter","venue":"Pain","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Zhàng; Statistical analysis; Library science; Psychology; History; Computer science; Statistics; Archaeology; Mathematics; China","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02179081,0.0009162277,0.001649456,0.001264974,0.004002024,0.003798683,0.00284314,0.0440224,0.01056591],"category_scores_gemma":[0.140908,0.001097193,0.002413174,0.0014179,0.005134179,0.00328088,0.002166916,0.03943618,0.009530786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003853756,"about_ca_system_score_gemma":0.007935824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006394356,"about_ca_topic_score_gemma":0.006737225,"domain_scores_codex":[0.9821812,0.007928911,0.002366499,0.001515903,0.004292047,0.001715464],"domain_scores_gemma":[0.9453593,0.03480785,0.003770782,0.001712215,0.01132001,0.00302981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000440375,0.000008545734,0.0002621883,0.00004553547,0.00001741092,0.0002071429,0.0001215117,0.00002712717,0.00006184508,0.001631445,0.9945703,0.003002883],"study_design_scores_gemma":[0.0001114684,0.00007546758,0.001481792,0.0006251299,0.00005791781,0.0009030089,0.000394949,0.0003167422,0.0003691011,0.007310604,0.9882691,0.0000847085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001498688,0.0004988462,0.0001573907,0.9790003,0.01911564,0.00001455227,0.0001002517,0.00004316498,0.0009200179],"genre_scores_gemma":[0.0012527,0.0001968619,0.0001799704,0.9834433,0.0126815,0.00004673429,0.00002556799,0.00001687921,0.00215653],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0440224,"threshold_uncertainty_score":0.1152422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191205984628124,"score_gpt":0.3070562729747123,"score_spread":0.2751442131284311,"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."}}