{"id":"W3004885508","doi":"10.29173/bluejay5816","title":"Addendum: The great bufflehead crash","year":2001,"lang":"en","type":"article","venue":"Blue Jay","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Addendum; Crash; Computer science; Political science; Law; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0000864107,0.00007583249,0.0001112888,0.00003854059,0.00009809585,0.000004778738,0.00009490502,0.001293857,0.0008051738],"category_scores_gemma":[0.00003994587,0.00004129876,0.00005745682,0.0001660145,0.0001253197,0.0000179371,0.00002899621,0.001298716,0.0005763064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001197791,"about_ca_system_score_gemma":0.0000225942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002047131,"about_ca_topic_score_gemma":0.00001992692,"domain_scores_codex":[0.9995089,0.00001629987,0.00009732192,0.0001243292,0.00008256505,0.0001705486],"domain_scores_gemma":[0.9995651,0.00003186436,0.00002236428,0.0003159697,0.00002195948,0.00004280687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004366086,0.0004796964,0.06072326,0.00006497972,0.0006335916,0.001789491,0.001410199,0.000009631938,0.0133903,0.02969121,0.7117376,0.1796334],"study_design_scores_gemma":[0.0007617992,0.0001341284,0.02569735,0.00004954272,0.0001009411,0.0007396223,0.0001503341,0.00005343192,0.004808374,0.0003215702,0.967096,0.00008688049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6921875,0.002109946,0.0002842286,0.215913,0.0006501501,0.0003134913,0.000001999503,0.0003253162,0.0882143],"genre_scores_gemma":[0.9591716,0.001043781,0.0001054063,0.003965366,0.0003336187,0.00000948134,0.000004764768,0.00001192689,0.03535405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2669841,"threshold_uncertainty_score":0.9979414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598892314578708,"score_gpt":0.2572014533999459,"score_spread":0.2412125302541589,"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."}}