{"id":"W6977379807","doi":"10.7298/q1az-4008","title":"Fast Radio Burst Community Newsletter - Volume 3, Issue 07","year":2022,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.001848794,0.00115932,0.0006863565,0.001921993,0.001791662,0.005121432,0.001107316,0.004076225,0.2576435],"category_scores_gemma":[0.003653203,0.0003679387,0.0005280942,0.001301621,0.0004842708,0.002226813,0.001605849,0.003181416,0.1957109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009571079,"about_ca_system_score_gemma":0.001893811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326177,"about_ca_topic_score_gemma":0.0101033,"domain_scores_codex":[0.9992823,0.0000687438,0.00002890243,0.00007515038,0.0004425827,0.0001023224],"domain_scores_gemma":[0.9949442,0.001111193,0.0002288627,0.0003009503,0.002364587,0.001050202],"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":[0.00003742578,0.00002482773,0.00009128854,0.00003672393,0.00000160629,0.00002597016,0.000009075283,0.00001573191,0.0001764498,0.0002204638,0.9811249,0.01823543],"study_design_scores_gemma":[0.00001463145,0.0000339659,0.0005052088,0.00005709229,0.000003026058,0.00003273413,0.0000614055,0.00007210096,0.0001478344,0.0001767486,0.9988888,0.000006347539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003668328,0.01105135,0.0049984,0.08684239,0.2940466,0.0007640503,0.006458213,0.004670245,0.5875004],"genre_scores_gemma":[0.00457858,0.004146511,0.0009054209,0.01182942,0.04655974,0.0001656984,0.003601483,0.0009091315,0.9273041],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2576435,"threshold_uncertainty_score":0.8619034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621321791579171,"score_gpt":0.2125598576223969,"score_spread":0.1663466397066052,"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."}}