{"id":"W6948732556","doi":"10.5061/dryad.v15dv41tf","title":"Clinician-researcher’s perspectives on clinical research during the COVID-19 pandemic","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Clinical research; Pandemic; Waiver; Informed consent; Observational study; Research ethics; Confidentiality; Research design; Affect (linguistics); Coronavirus disease 2019 (COVID-19); Qualitative research","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1963915,0.0005869432,0.001207746,0.002203783,0.02416699,0.02189555,0.00310794,0.01171353,0.003958852],"category_scores_gemma":[0.2516682,0.001073542,0.001451076,0.002408532,0.03957389,0.009889488,0.01476699,0.01834432,0.0009246864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01666871,"about_ca_system_score_gemma":0.04933784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139384,"about_ca_topic_score_gemma":0.02119322,"domain_scores_codex":[0.500813,0.4587839,0.008153576,0.006024615,0.01427732,0.01194766],"domain_scores_gemma":[0.5217453,0.36101,0.02515263,0.008146774,0.03036019,0.05358522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001180129,0.00005998565,0.005775921,0.0007420712,0.00005091727,0.002749933,0.9561679,0.0001351395,0.0006481977,0.01051204,0.01161755,0.01142231],"study_design_scores_gemma":[0.00004054479,0.0001926311,0.001720872,0.001157991,0.00002589376,0.00216228,0.9139796,0.0001187701,0.0002295703,0.002999554,0.07729538,0.00007689142],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.2318209,0.02260583,0.007785452,0.6994273,0.004128597,0.0003325916,0.0001365395,0.00009124704,0.03367154],"genre_scores_gemma":[0.9066074,0.01085794,0.004020988,0.07483959,0.001292665,0.0002294958,0.00004668318,0.00006782258,0.002037409],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1963915,"threshold_uncertainty_score":0.9909924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166368587101229,"score_gpt":0.3922560445653026,"score_spread":0.2258874574640735,"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."}}