{"id":"W6962968239","doi":"10.17603/ds2-t9d5-6281","title":"Canadian social science workforce in COVID-19 rapid research","year":2021,"lang":"en","type":"dataset","venue":"Texas Advanced Computing Center","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Government (linguistics); General partnership; Preparedness; Social research; Workforce development; Research council; Participatory action research; Mental health","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00613222,0.0007156466,0.0009159705,0.003880751,0.001800971,0.0007825209,0.003310509,0.0004593755,0.0006441502],"category_scores_gemma":[0.003160103,0.0008426584,0.0001796697,0.007354176,0.001509763,0.0004064915,0.00185255,0.003556167,0.002732522],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01604547,"about_ca_system_score_gemma":0.01104508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05626472,"about_ca_topic_score_gemma":0.2262137,"domain_scores_codex":[0.9893318,0.001040289,0.000927455,0.002293624,0.002434216,0.0039726],"domain_scores_gemma":[0.9949936,0.0006222174,0.0003729274,0.001587225,0.0007331423,0.001690862],"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":[0.00006008867,0.0001290576,0.0006451128,0.0001572589,0.00001722275,0.0008074754,0.0001964674,0.0005086575,0.00003647047,0.00005775018,0.9918781,0.005506364],"study_design_scores_gemma":[0.001550936,0.0000398818,0.0004657676,0.0008327388,0.00000962417,0.00004933437,0.0002739129,0.0001619933,0.00001898701,0.00008229264,0.9957394,0.0007751529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001313739,0.0006850566,0.00002396658,0.0005504352,0.001309315,0.0009420321,0.9924663,0.0001504279,0.002558775],"genre_scores_gemma":[0.007479651,0.0000984875,0.000591443,0.002424211,0.0008529322,0.00001835021,0.9881656,0.0001802303,0.0001890719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.169949,"threshold_uncertainty_score":0.9994985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07731594416429284,"score_gpt":0.4156443338080981,"score_spread":0.3383283896438053,"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."}}