{"id":"W1907153540","doi":"10.1109/agile.2006.12","title":"Agile 2006 Research Papers","year":2006,"lang":"it","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Agile software development; Novelty; Computer science; Process (computing); Agile Unified Process; Variety (cybernetics); Project management; Engineering management; Software engineering; Software development process; Engineering; Software; Software development; Systems engineering; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001640209,0.0001793083,0.0001572222,0.000219237,0.0002589035,0.0006137014,0.001092326,0.0001619812,0.0009913121],"category_scores_gemma":[0.0001677386,0.0001669934,0.00007888896,0.0009564271,0.0000951054,0.0005414088,0.0004442334,0.0005744101,0.0007088258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007650092,"about_ca_system_score_gemma":0.0001000109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959287,"about_ca_topic_score_gemma":0.00004291693,"domain_scores_codex":[0.9976485,0.0001815649,0.0002622946,0.0005096146,0.0007103489,0.0006876683],"domain_scores_gemma":[0.9978647,0.0009273554,0.00005442127,0.0008529136,0.0001952059,0.0001054209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008758352,0.0002084984,0.001260284,0.00004711691,0.000020848,0.0001268836,0.0001404346,0.0007852923,0.00123312,0.3057142,0.6386046,0.05184993],"study_design_scores_gemma":[0.0001070809,0.0001464942,0.002752738,0.00004202656,0.000005307911,0.00002291824,0.00001525602,0.01065063,0.002783025,0.005461561,0.9777347,0.0002781873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001495674,0.001620985,0.3220299,0.0058597,0.0010877,0.0003607192,0.000008150025,0.001792644,0.6657445],"genre_scores_gemma":[0.6865387,0.0003011719,0.184757,0.0003283433,0.0009176436,0.00004047262,0.000006788002,0.00004664666,0.1270632],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.685043,"threshold_uncertainty_score":0.9999219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207220271399343,"score_gpt":0.3288593743607675,"score_spread":0.2867871716467741,"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."}}