{"id":"W2947197171","doi":"10.25300/misq/2019/13980","title":"Mutual Understanding in Information Systems Development: Changes Within and Across Projects1","year":2019,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Focus (optics); Information system; Knowledge management; Process management; Business; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.07692729,0.0006966621,0.0007361991,0.00622279,0.007745467,0.01320569,0.00276126,0.002478387,0.001570683],"category_scores_gemma":[0.2168511,0.001514441,0.0007255891,0.003982457,0.01448569,0.01635223,0.02896491,0.00309266,0.0002722987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007016957,"about_ca_system_score_gemma":0.01104572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350554,"about_ca_topic_score_gemma":0.002510891,"domain_scores_codex":[0.8565518,0.1083548,0.004357059,0.005429438,0.02104458,0.004262305],"domain_scores_gemma":[0.7472344,0.1699306,0.03930499,0.01405379,0.01958802,0.009888225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001187464,0.0005172173,0.1442347,0.0007728717,0.0001787948,0.0007761117,0.6261068,0.001619071,0.002049098,0.03996152,0.001819712,0.1818455],"study_design_scores_gemma":[0.00006400654,0.0009552421,0.2673267,0.001406509,0.0001476213,0.001576806,0.5563574,0.009402415,0.003120058,0.1033312,0.05602919,0.0002827862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288719,0.001717475,0.03635262,0.005288397,0.00005735983,0.0003409347,0.00006644351,0.0001430789,0.02716173],"genre_scores_gemma":[0.9904122,0.0003002912,0.00825332,0.0001181463,0.00001207628,0.0002491145,0.00003269441,0.00003027675,0.0005920352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07692729,"threshold_uncertainty_score":0.4068353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06876904327277669,"score_gpt":0.2661674018465336,"score_spread":0.197398358573757,"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."}}