{"id":"W2031459347","doi":"10.1007/s10664-010-9152-6","title":"Using grounded theory to study the experience of software development","year":2011,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":236,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Grounded theory; Computer science; Context (archaeology); Software; Management science; Development theory; Qualitative research; Engineering; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007511282,0.0002640863,0.0002562543,0.000148992,0.0001556122,0.00006870282,0.001449658,0.00007216864,0.00003490341],"category_scores_gemma":[0.001206664,0.0002017595,0.00007262918,0.0008093377,0.00002579409,0.0004189389,0.0006597943,0.0002483167,0.00001031373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008136939,"about_ca_system_score_gemma":0.00006052926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005347087,"about_ca_topic_score_gemma":0.000001799961,"domain_scores_codex":[0.9982731,0.00007900089,0.0004229841,0.0004185965,0.0004110894,0.0003952034],"domain_scores_gemma":[0.9981063,0.0007534274,0.00009733394,0.0007943503,0.00009142062,0.0001571949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001544194,0.002019734,0.4149331,0.0002099874,0.000765454,0.0002889532,0.3761599,0.02264424,0.0006525455,0.006713697,0.0003527348,0.1751053],"study_design_scores_gemma":[0.001042997,0.001180999,0.9132613,0.0003161496,0.0001200764,0.0001602317,0.001820709,0.01105406,0.04517988,0.003239885,0.01969292,0.002930795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2997518,0.00007931393,0.6988178,0.00001191563,0.0002513737,0.000275928,4.829866e-7,0.000802318,0.000008996391],"genre_scores_gemma":[0.4815196,7.828978e-7,0.518301,0.00007210313,0.00002257461,0.00005614834,2.051679e-7,0.00001920235,0.000008507656],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4983282,"threshold_uncertainty_score":0.8227513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170929886314408,"score_gpt":0.3288625697848295,"score_spread":0.2117695811533887,"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."}}