{"id":"W4220694909","doi":"10.1002/9781119078166.ch12","title":"Nonparametric Bayesian Models","year":2022,"lang":"en","type":"other","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nonparametric statistics; Bayesian probability; Probabilistic logic; Parametric statistics; Computer science; Econometrics; Parametric model; Artificial intelligence; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00587039,0.001484032,0.001699987,0.002517822,0.0009461995,0.005231305,0.002866639,0.002792874,0.01361387],"category_scores_gemma":[0.021391,0.0008319014,0.001593399,0.002661259,0.002600936,0.004994092,0.002480811,0.003459249,0.004149222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991668,"about_ca_system_score_gemma":0.0017357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00443934,"about_ca_topic_score_gemma":0.004041425,"domain_scores_codex":[0.9959049,0.002107215,0.0001849083,0.0006283845,0.0009557221,0.0002189107],"domain_scores_gemma":[0.9914063,0.00642778,0.0005993462,0.0007123571,0.0006938177,0.0001603443],"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":[0.00001268853,0.00001639173,0.0004769245,0.0001054168,0.00004891666,0.00006563782,0.00007680793,0.03215072,0.0001033454,0.9335389,0.005305548,0.02809863],"study_design_scores_gemma":[0.000008700003,0.000008902972,0.0002014008,0.00007072064,0.00001917248,0.0001166344,0.00002624887,0.08816583,0.00006343155,0.8902536,0.02104469,0.00002058051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00250623,0.004757951,0.959157,0.002711949,0.0002160931,0.00006586451,0.001133004,0.000327007,0.02912491],"genre_scores_gemma":[0.4046718,0.03271194,0.489835,0.00308568,0.002895878,0.001024927,0.004818206,0.0006592943,0.06029725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01361387,"threshold_uncertainty_score":0.04554296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343273358045475,"score_gpt":0.2516191482413982,"score_spread":0.2381864146609435,"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."}}