{"id":"W4406462651","doi":"10.1016/0967-0653(96)83388-6","title":"10.1016/0967-0653(96)83388-6","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":"Environmental science","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":[0.0003442007,0.0001648136,0.0001917886,0.00007580654,0.00009533818,0.0001361524,0.0009006239,0.00007649484,0.9752708],"category_scores_gemma":[0.00001982913,0.0001495637,0.00007950298,0.0003631969,0.00002379893,0.0002669098,0.0001282606,0.0001323761,0.9905223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002444099,"about_ca_system_score_gemma":0.00003941003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145312,"about_ca_topic_score_gemma":8.137958e-8,"domain_scores_codex":[0.9987076,0.0001055883,0.0001845602,0.0004190807,0.0002182909,0.0003649012],"domain_scores_gemma":[0.9989323,0.00005639904,0.00002857643,0.0007141599,0.00004219916,0.0002263647],"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":[0.000007184955,0.00002505845,9.307142e-9,0.00000225443,0.000005994912,0.000008051028,0.00003642679,0.00001298186,0.00002477555,0.0002639772,0.1267953,0.872818],"study_design_scores_gemma":[0.0001372399,0.00009145378,0.000004520975,0.00001123632,0.000005261763,0.00001830515,8.777987e-8,0.005141882,0.0002562919,0.001604705,0.992518,0.0002110161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007824779,0.00006958102,0.137146,0.0007355012,0.000004211501,0.000128408,0.000002926969,0.0002177658,0.8616878],"genre_scores_gemma":[0.0000135315,2.22524e-7,0.1392874,0.0001786884,0.0001206507,0.00001271608,0.000001826396,0.00001375807,0.8603712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8726069,"threshold_uncertainty_score":0.6099031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00832743777727498,"score_gpt":0.1948901533986797,"score_spread":0.1865627156214048,"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."}}