{"id":"W4319592428","doi":"10.1016/b978-0-12-398387-9.00020-9","title":"Prediction methods","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Censoring (clinical trials); Prediction interval; Bayesian probability; Computer science; Interval (graph theory); Statistics; Mathematics; Artificial intelligence; Algorithm; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192193,0.001361874,0.001233808,0.001201866,0.000525046,0.002066969,0.001481078,0.001390686,0.05414371],"category_scores_gemma":[0.003523457,0.000666352,0.0009418646,0.001535658,0.0005299086,0.001814149,0.001388826,0.001593602,0.0412334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236218,"about_ca_system_score_gemma":0.0007680792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003325353,"about_ca_topic_score_gemma":0.002813184,"domain_scores_codex":[0.999151,0.00015063,0.0000415758,0.000264511,0.0003473233,0.00004492527],"domain_scores_gemma":[0.9989619,0.0003640366,0.00003847178,0.0003543671,0.000250729,0.00003056154],"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":[0.00005774651,0.00006320886,0.0005309805,0.0001988731,0.00006085361,0.00005585307,0.00003701195,0.03591561,0.001687187,0.04502751,0.1043291,0.8120362],"study_design_scores_gemma":[0.00002840424,0.00006371627,0.001202068,0.0001732127,0.0000610863,0.000229807,0.0000483944,0.6190926,0.004921289,0.1385671,0.2355608,0.00005152387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00191675,0.00370849,0.9155532,0.0007349988,0.001068667,0.0001025744,0.00163204,0.005618491,0.06966484],"genre_scores_gemma":[0.0912655,0.00589183,0.5104584,0.001035472,0.00148401,0.0005987338,0.01091724,0.002399217,0.3759497],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05414371,"threshold_uncertainty_score":0.1811287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630131448571089,"score_gpt":0.3683697772734298,"score_spread":0.2053566324163209,"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."}}