{"id":"W3096197234","doi":"","title":"Call to Action: How can universities support doctoral and early career researchers during COVID-19 (and beyond!)","year":2020,"lang":"en","type":"article","venue":"Lincoln Repository (University of Lincoln)","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Quarter (Canadian coin); Institution; 2019-20 coronavirus outbreak; Medical education; Mental health; Action (physics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Work (physics); Psychology; Supervisor; Public relations; Political science; Medicine; Engineering; History; Law; Virology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05100746,0.001121862,0.001204492,0.002209633,0.02258066,0.02634845,0.007200221,0.0489529,0.05835218],"category_scores_gemma":[0.1225678,0.001133071,0.002490163,0.00143842,0.01114221,0.03149541,0.02754602,0.02469143,0.02289658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008884815,"about_ca_system_score_gemma":0.08688439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02555726,"about_ca_topic_score_gemma":0.04764328,"domain_scores_codex":[0.9560943,0.02297599,0.001295183,0.001478417,0.004108057,0.01404809],"domain_scores_gemma":[0.7908177,0.03773663,0.006872207,0.006992701,0.02197577,0.1356049],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154024,0.0003114789,0.002330546,0.0006959325,0.00004599317,0.0005692345,0.01428286,0.00009536544,0.0004021637,0.007777324,0.9081664,0.06520724],"study_design_scores_gemma":[0.0001765242,0.0003719013,0.006304828,0.003684752,0.00008258363,0.0004332511,0.1335921,0.0002590887,0.0005263188,0.01598048,0.8383057,0.0002824954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002003523,0.002088673,0.0003980201,0.9818305,0.004983508,0.00007800113,0.0000744429,0.0002586556,0.008284565],"genre_scores_gemma":[0.0792383,0.006184397,0.007284245,0.8746987,0.003634052,0.0006857218,0.000240381,0.0002543917,0.02777977],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9489926,"threshold_uncertainty_score":0.2697565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125557086558444,"score_gpt":0.3593270571787495,"score_spread":0.2337699706203055,"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."}}