{"id":"W4292634372","doi":"10.36367/ntqr.10.2022.e561","title":"Conducting Grounded Theory Studies in Times of Pandemic: Challenges, Benefits, and Practical Strategies","year":2022,"lang":"en","type":"article","venue":"New Trends in Qualitative Research","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Grounded theory; Operationalization; Data collection; Qualitative research; Process (computing); Sociology; Computer science; Knowledge management; Epistemology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.4343689,0.00276785,0.003587882,0.009360951,0.02015216,0.04549639,0.009821291,0.01613424,0.007495873],"category_scores_gemma":[0.3541471,0.003575842,0.003007121,0.01343463,0.04722767,0.0588655,0.03075078,0.02212645,0.003877464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02304714,"about_ca_system_score_gemma":0.06362231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006064948,"about_ca_topic_score_gemma":0.01081653,"domain_scores_codex":[0.4925751,0.4562963,0.01204927,0.005506797,0.02796435,0.005608216],"domain_scores_gemma":[0.3752638,0.5565448,0.007982924,0.02150899,0.02888569,0.009813696],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001647634,0.0006634595,0.002037829,0.01104578,0.0001206502,0.001363811,0.4465827,0.001246902,0.00102193,0.3090612,0.02375806,0.2029329],"study_design_scores_gemma":[0.0001619479,0.0002973307,0.0006993596,0.03050331,0.00006578831,0.001000846,0.4478287,0.002559452,0.0009042275,0.3773074,0.1384791,0.0001924393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02771301,0.0348635,0.3706213,0.4957308,0.006886308,0.01385845,0.0004942379,0.0007229757,0.04910943],"genre_scores_gemma":[0.1729754,0.02495361,0.7441084,0.03121517,0.001152336,0.02077317,0.0004456163,0.0003080125,0.004068249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5656312,"threshold_uncertainty_score":0.6975239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.804829050609245,"score_gpt":0.6420481812445613,"score_spread":0.1627808693646837,"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."}}