{"id":"W1572018399","doi":"10.1007/978-3-540-73101-6_8","title":"Job Satisfaction and Motivation in a Large Agile Team","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Agile software development; Scrum; Knowledge management; Autonomy; Variety (cybernetics); Software development; Team software process; Agile usability engineering; Job satisfaction; Computer science; Software; Process management; Engineering; Engineering management; Software engineering; Software development process; Psychology; Political 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001212349,0.0002780112,0.0002592343,0.0009119993,0.0001005124,0.0002928748,0.0006707424,0.0002667856,0.000008082679],"category_scores_gemma":[0.000206198,0.0002729686,0.00003541412,0.0005093038,0.0001215359,0.0008815376,0.0005258194,0.0007003946,0.000005436442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676989,"about_ca_system_score_gemma":0.0001075707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008917549,"about_ca_topic_score_gemma":0.0002920167,"domain_scores_codex":[0.9980029,0.00001883097,0.0003146598,0.0008005935,0.0004684701,0.0003945021],"domain_scores_gemma":[0.9984213,0.0007020612,0.0001573878,0.0005625169,0.00007911653,0.00007765619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005178964,0.00001403363,0.0157926,0.00004471012,0.000004639568,0.00005263548,0.0007631444,0.004706166,0.00007286697,0.0183819,0.00002078069,0.9601414],"study_design_scores_gemma":[0.0005961883,0.0003358416,0.1452344,0.0009176412,0.000008376604,0.0002073486,3.920931e-7,0.6609724,0.0009900227,0.1822503,0.00714853,0.001338524],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001256822,0.0003037204,0.9959035,0.0001902513,0.0006393457,0.0002446577,0.0000017311,0.0002614377,0.00119855],"genre_scores_gemma":[0.4248532,0.0001150613,0.5742093,0.0005434725,0.0001774633,0.000006578982,0.000001992014,0.00002138339,0.00007154441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9588028,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932279094970426,"score_gpt":0.2636909671427683,"score_spread":0.244368176193064,"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."}}