{"id":"W4221042466","doi":"10.24095/hpcdp.42.3.03","title":"Conducting research during the COVID-19 pandemic: the Op LASER study","year":2022,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Royal Military College of Canada; Lawson Health Research Institute; Defence Research and Development Canada","funders":"Ministère de la Défense Nationale","keywords":"Coronavirus disease 2019 (COVID-19); Political science; Humanities; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Multidisciplinary approach; Library science; Medicine; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01310807,0.0004219683,0.0007504044,0.001218924,0.01879546,0.004750339,0.0023978,0.001759242,0.002001932],"category_scores_gemma":[0.01896526,0.0008135755,0.0003682914,0.003276721,0.00664658,0.002113917,0.004859047,0.004923781,0.0002961617],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05878201,"about_ca_system_score_gemma":0.1398865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815963,"about_ca_topic_score_gemma":0.9924189,"domain_scores_codex":[0.9874383,0.003835809,0.0003393771,0.0005491044,0.002117496,0.005719916],"domain_scores_gemma":[0.9852899,0.003267911,0.00198852,0.0006785466,0.003344765,0.005430398],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003314342,0.00131396,0.3787768,0.0002806385,0.00006787536,0.001048737,0.5711974,0.0001076683,0.0006306243,0.001957273,0.01344617,0.03084149],"study_design_scores_gemma":[0.00004823012,0.000312823,0.3168218,0.0002740533,0.00002543719,0.00008006057,0.6697649,0.0001004023,0.0000921545,0.000183222,0.01223995,0.00005697386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867735,0.0006255393,0.0001673339,0.005361835,0.00007126439,0.0006380469,0.0004657905,0.000007154265,0.005889537],"genre_scores_gemma":[0.9912832,0.001025636,0.0004226625,0.004221235,0.00004555718,0.0006828238,0.0002735459,0.00001262912,0.002032684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9868919,"threshold_uncertainty_score":0.4264953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3315517270204662,"score_gpt":0.457271477939821,"score_spread":0.1257197509193548,"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."}}