{"id":"W1979056535","doi":"10.1145/1067445.1067523","title":"Student communication challenges in distributed software engineering environments","year":2005,"lang":"en","type":"article","venue":"","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic; Toronto Metropolitan University","funders":"","keywords":"Computer science; Face (sociological concept); Software; Human–computer interaction; Population; Work (physics); Distributed learning; Software engineering; Multimedia; Data science; Engineering; Psychology; Programming language; Pedagogy","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":[0.001017137,0.00008527526,0.0001030559,0.00007461546,0.00003696228,0.000007323918,0.000172367,0.00006413469,0.0004197469],"category_scores_gemma":[0.00009832169,0.00008283164,0.00001781573,0.00007851876,0.00001576767,0.00004227793,0.00005086059,0.000337359,0.0001672675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000875133,"about_ca_system_score_gemma":0.000002165304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002316894,"about_ca_topic_score_gemma":0.00001074735,"domain_scores_codex":[0.9990435,0.0003835405,0.0001687014,0.0001539862,0.00008323797,0.0001670853],"domain_scores_gemma":[0.9994166,0.0001878261,0.00003998335,0.0003298062,0.000005322903,0.0000204366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004079605,0.001400795,0.2698768,0.00001732992,0.0001548039,0.000009884838,0.04080202,0.00785396,0.0008522426,0.05662591,0.001081031,0.6212844],"study_design_scores_gemma":[0.0003663733,0.00002294616,0.8890904,0.00001339576,0.000002546119,0.000002028355,0.0008053106,0.0001306883,0.0000493865,0.00001801024,0.1093986,0.0001002868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606117,0.003013578,0.119389,0.002034559,0.0001849737,0.0002025926,0.000004177969,0.0002551092,0.01430427],"genre_scores_gemma":[0.9695241,0.00006439054,0.02928466,0.00006527272,0.00003808033,0.00002818681,0.00002440891,0.00001344118,0.0009574189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6211842,"threshold_uncertainty_score":0.4595934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06704689935459633,"score_gpt":0.3736296554066002,"score_spread":0.3065827560520039,"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."}}