{"id":"W2134876531","doi":"10.1109/msr.2007.27","title":"Recommending Emergent Teams","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Software; Heuristic; Team software process; Software development; World Wide Web; Software engineering; Knowledge management; Data science; Software development process; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567033,0.001171239,0.001323963,0.008074746,0.001052266,0.001661793,0.001717903,0.002199889,0.003715039],"category_scores_gemma":[0.01860102,0.0004962211,0.0009863611,0.002424066,0.0004527776,0.002469668,0.001347851,0.001229579,0.001726197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007995893,"about_ca_system_score_gemma":0.001336648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007264414,"about_ca_topic_score_gemma":0.01215041,"domain_scores_codex":[0.9976581,0.0006585441,0.0001789508,0.0008036589,0.0005127876,0.0001878374],"domain_scores_gemma":[0.9882272,0.007257058,0.0008122506,0.0008968793,0.00220669,0.0005999129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001031433,0.000683879,0.1148766,0.0008776868,0.000915194,0.0008091715,0.001329815,0.09295459,0.004596158,0.008814985,0.05248662,0.7206239],"study_design_scores_gemma":[0.0002181094,0.0003651911,0.01173852,0.0002091781,0.0004148264,0.0005688685,0.001115525,0.9472739,0.005271779,0.0200657,0.01268158,0.00007670686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.327394,0.002500309,0.6541376,0.001224492,0.0004029549,0.0005821424,0.002441346,0.002533962,0.008783275],"genre_scores_gemma":[0.7426875,0.0007846736,0.2450497,0.0003669701,0.00035971,0.0004024882,0.004614697,0.0002337087,0.005500494],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008074746,"threshold_uncertainty_score":0.01444423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066831263284452,"score_gpt":0.299639388076523,"score_spread":0.2789710754436784,"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."}}