{"id":"W253996444","doi":"","title":"The Effects of Distance, Experience, and Communication Structure on Requirements Awareness in Two Distributed Industrial Software Projects","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Software; Software development; Knowledge management; Team software process; Software project management; Computer science; Process management; Software development process; Engineering management; Engineering; Software engineering; Software construction","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":[0.000410564,0.0001037991,0.0001112812,0.00006591484,0.0001481402,0.0001083197,0.0006042939,0.00005400495,7.103419e-7],"category_scores_gemma":[0.0006143151,0.00007104551,0.00001445207,0.0004482222,0.0000748624,0.0003409144,0.0001895391,0.0001813677,1.172843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004069845,"about_ca_system_score_gemma":0.00003497012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591948,"about_ca_topic_score_gemma":0.0001400083,"domain_scores_codex":[0.9991484,0.0000681859,0.0002144988,0.0001818431,0.0002061294,0.0001808915],"domain_scores_gemma":[0.9979327,0.00132172,0.000120198,0.0005477928,0.00004253391,0.00003510553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003211243,0.0002684193,0.4947273,0.0001834351,0.00005018161,0.00003607126,0.005749149,0.0001766861,0.001410757,0.1461857,0.001176634,0.3497145],"study_design_scores_gemma":[0.01072749,0.002191801,0.5216079,0.002714501,0.00004890375,0.00004798957,0.0009742631,0.01496799,0.3331533,0.03564955,0.07551125,0.002405014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4308037,0.0001292944,0.5682915,0.00005911723,0.000202632,0.0003174648,0.00000304486,0.0001505328,0.00004280532],"genre_scores_gemma":[0.9812366,0.00003955626,0.01864565,0.00002433326,0.00001435612,0.00001909279,0.000005771653,0.000004831725,0.000009818883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5504329,"threshold_uncertainty_score":0.2897152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684670003896244,"score_gpt":0.3218689801843779,"score_spread":0.2950222801454155,"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."}}