{"id":"W7032974653","doi":"","title":"Patient-centered statistics in clinical prediction, trials and meta-analysis","year":2025,"lang":"en","type":"article","venue":"Leiden Repository (Leiden University)","topic":"Biblical Studies and Interpretation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Health Canada; European Society for Medical Oncology; European Commission; European Federation of Pharmaceutical Industries and Associations; American Society of Clinical Oncology","keywords":"Clinical trial; Statistical analysis; Perspective (graphical); Statistical hypothesis testing; Estimation; MEDLINE","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004559851,0.0001448871,0.000917971,0.0007352345,0.000313648,0.0001793475,0.0001407548,0.00007844139,0.0003544842],"category_scores_gemma":[0.0002093269,0.0001235601,0.0004922039,0.0004058905,0.0002228452,0.0002707381,0.0001344263,0.0001712403,0.000005709803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006342417,"about_ca_system_score_gemma":0.00003436393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551025,"about_ca_topic_score_gemma":0.00354086,"domain_scores_codex":[0.9979987,0.0005776279,0.0007580238,0.0003471263,0.0001646685,0.0001539122],"domain_scores_gemma":[0.9986623,0.0005611167,0.0002718435,0.0001984943,0.0002436709,0.00006259638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000824297,0.0007457756,0.2906717,0.0001426868,0.2131121,0.0002696928,0.007805418,0.0001258351,0.00003334126,0.4013403,0.08050926,0.004419605],"study_design_scores_gemma":[0.001798455,0.0004301976,0.1024779,0.00002389914,0.2410862,0.000001974318,0.006462949,0.001218461,0.00006146054,0.001903036,0.6440768,0.0004586608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4848142,0.009930772,0.01801643,0.004606531,0.004885414,0.003116044,0.001571163,0.000496006,0.4725634],"genre_scores_gemma":[0.9584146,0.0001253369,0.0002105083,0.0006254087,0.0001077218,0.000005108002,0.00002827512,0.000007885225,0.04047517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5635676,"threshold_uncertainty_score":0.5038636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08816238535190814,"score_gpt":0.2936798187302833,"score_spread":0.2055174333783751,"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."}}