{"id":"W6977347743","doi":"10.7298/0b7p-tk78","title":"Fast Radio Burst Community Newsletter - Volume 3, Issue 08","year":2022,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Foundation (evidence); Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005309285,0.0001699554,0.0002403659,0.0002561182,0.002874111,0.0001112749,0.001195116,0.00008197378,0.004636547],"category_scores_gemma":[0.00008018796,0.0002227335,0.0001613958,0.0009122002,0.0005180443,0.0005277928,0.0004598755,0.0007540081,0.0006290327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005628041,"about_ca_system_score_gemma":0.0001678426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007655962,"about_ca_topic_score_gemma":0.005511192,"domain_scores_codex":[0.9977731,0.001026731,0.000150414,0.0002713599,0.0002583077,0.0005201065],"domain_scores_gemma":[0.9987515,0.0002382351,0.0001036573,0.0005378951,0.00004593171,0.0003227351],"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":[0.0002295764,0.001536822,0.1834246,0.00003606965,0.0002004794,0.001078373,0.06828085,0.004218109,0.00004455608,0.03645516,0.6885509,0.01594453],"study_design_scores_gemma":[0.0004723519,0.0001086167,0.007156614,0.000004581689,0.00002894806,0.000007331899,0.03165888,0.0002123407,0.000004329864,0.0007510543,0.9592986,0.0002963618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450476,0.00004803799,0.0001504291,0.002143991,0.001036721,0.0002189325,0.00009524613,0.0002060267,0.4510531],"genre_scores_gemma":[0.9194742,0.00002363208,0.00004035031,0.0006166084,0.0003257511,0.000001664593,0.00003888912,0.00001875746,0.07946017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744266,"threshold_uncertainty_score":0.9989522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978091011608825,"score_gpt":0.2167511374723723,"score_spread":0.1769702273562841,"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."}}