{"id":"W6921415566","doi":"10.7298/p2jy-px24","title":"Fast Radio Burst Community Newsletter - Volume 2, Issue 08","year":2021,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Foundation (evidence); Government (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001306563,0.001095999,0.0005843385,0.001772277,0.001659999,0.004813139,0.001032462,0.003285154,0.3783525],"category_scores_gemma":[0.002796344,0.0003443806,0.0004257939,0.001308333,0.0003983329,0.002126346,0.001646637,0.002318823,0.3090129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009532083,"about_ca_system_score_gemma":0.001703065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845224,"about_ca_topic_score_gemma":0.01106774,"domain_scores_codex":[0.9994331,0.00005071056,0.00001889714,0.00007082851,0.000335633,0.00009071658],"domain_scores_gemma":[0.9969022,0.0005597642,0.0001301431,0.0002000792,0.001480315,0.0007275605],"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":[0.00002439904,0.00001487108,0.00006254857,0.0000262095,9.179184e-7,0.00001843087,0.000006522666,0.00001454206,0.0001363773,0.0002909391,0.9821822,0.01722208],"study_design_scores_gemma":[0.00001056831,0.00001548049,0.0002578155,0.00003693447,0.000001739205,0.00001943913,0.00003110372,0.00005644697,0.0001044922,0.0001595143,0.9993026,0.00000388541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002009642,0.005078334,0.003963011,0.03804076,0.1013883,0.000469854,0.006590849,0.004505144,0.8379541],"genre_scores_gemma":[0.002504556,0.001649257,0.0005200741,0.004447963,0.01056729,0.00008655743,0.00314699,0.0007847195,0.9762926],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3783525,"threshold_uncertainty_score":0.8867047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267637546007665,"score_gpt":0.1910650831717053,"score_spread":0.1643013285709388,"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."}}