{"id":"W4293563317","doi":"10.1016/j.joclim.2022.100167","title":"Virtual interviews: Less carbon, less bias?","year":2022,"lang":"en","type":"article","venue":"The Journal of Climate Change and Health","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; Sunnybrook Health Science Centre; Sinai Health System; University of Toronto; Health Sciences Centre; Ottawa Hospital","funders":"","keywords":"Interview; Phone; Medical education; Psychology; Process (computing); Health care; Protocol (science); Public relations; Medicine; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"category_scores_codex":[0.219638,0.0009920194,0.001263322,0.002720858,0.009754087,0.01675587,0.003314711,0.004523564,0.011459],"category_scores_gemma":[0.3065766,0.001048061,0.000777022,0.002829988,0.02970511,0.02700863,0.01701676,0.004316257,0.001648548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009377425,"about_ca_system_score_gemma":0.01329229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00370161,"about_ca_topic_score_gemma":0.007605646,"domain_scores_codex":[0.5107629,0.4614048,0.005319884,0.005367348,0.01251009,0.004634887],"domain_scores_gemma":[0.643891,0.288791,0.01939286,0.02431746,0.01553385,0.008073829],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005864158,0.0002429673,0.01236105,0.004204678,0.0001540447,0.0004900304,0.7169999,0.0003114587,0.001900775,0.1239874,0.01738126,0.1213801],"study_design_scores_gemma":[0.000371963,0.0006306684,0.005967146,0.007752069,0.0001495549,0.0008021655,0.6385314,0.001182238,0.00192729,0.1572183,0.1852835,0.0001837547],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3600232,0.01067817,0.1360619,0.3674834,0.006159173,0.004663071,0.000525794,0.0005330257,0.1138723],"genre_scores_gemma":[0.8967082,0.002175238,0.0454287,0.04311344,0.001119957,0.005969645,0.0001146793,0.0002296923,0.0051405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.780362,"threshold_uncertainty_score":0.9623253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.460091940530726,"score_gpt":0.4565012575581381,"score_spread":0.003590682972587855,"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."}}