{"id":"W4406565461","doi":"10.1016/j.endend.2013.01.010","title":"10.1016/j.endend.2013.01.010","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Mathematics; Statistics; Binary number; Exponential function; Regression; Econometrics; Computer science; Mathematical analysis; Arithmetic","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003235899,0.000162784,0.0001858644,0.00008062567,0.0000880704,0.0001299317,0.0008883334,0.00007974622,0.9728171],"category_scores_gemma":[0.00001458935,0.0001478464,0.00007681453,0.000323848,0.00002306874,0.0002688898,0.0001321656,0.0001432436,0.9815428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223451,"about_ca_system_score_gemma":0.00003775035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001989616,"about_ca_topic_score_gemma":1.960973e-7,"domain_scores_codex":[0.9987253,0.0000974806,0.0001784557,0.0004139011,0.0002239759,0.0003608895],"domain_scores_gemma":[0.9989385,0.0000535877,0.00002860558,0.0007181915,0.00003596016,0.0002251821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006840612,0.00002226503,7.448935e-9,0.000001905282,0.000005673496,0.000007585969,0.00002918529,0.00001218607,0.00004214122,0.0001799891,0.2037049,0.7959874],"study_design_scores_gemma":[0.0001384522,0.00008317646,0.000006735988,0.000009451917,0.000005111669,0.00002199376,8.737105e-8,0.005845512,0.0001981043,0.001203398,0.9922825,0.0002055079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000951829,0.00007411784,0.1555205,0.0009895867,0.000004767415,0.0001204151,0.000002947685,0.0002218919,0.8430563],"genre_scores_gemma":[0.00001636124,3.958691e-7,0.1676444,0.000163111,0.0001181856,0.00001159554,0.000001397549,0.00001379428,0.8320308],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7957819,"threshold_uncertainty_score":0.6029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007765236316567291,"score_gpt":0.1970099762113386,"score_spread":0.1892447398947714,"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."}}