{"id":"W4239925710","doi":"10.1145/545104.545107","title":"Being the new guy in an experienced team","year":2002,"lang":"en","type":"article","venue":"","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Flexibility (engineering); Computer science; Process (computing); Action (physics); Focus (optics); Artificial intelligence; Scratch; Human–computer interaction; Knowledge management; Management","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":[0.001186095,0.0004205792,0.0003310185,0.0001963125,0.0008580655,0.001798949,0.001151486,0.00126319,0.004141993],"category_scores_gemma":[0.00392622,0.0002171426,0.0004286158,0.0001410315,0.001667688,0.002279058,0.002533208,0.001255497,0.001004209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003809304,"about_ca_system_score_gemma":0.0004560572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005799474,"about_ca_topic_score_gemma":0.0009748107,"domain_scores_codex":[0.9987621,0.0005205652,0.00003012781,0.0003156451,0.0002230537,0.000148508],"domain_scores_gemma":[0.9984097,0.0003821246,0.0002206664,0.0004024673,0.0001656481,0.0004194567],"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":[0.0006158809,0.001011936,0.01650602,0.0003845717,0.0003191837,0.002589121,0.01237214,0.07209842,0.03752679,0.3852577,0.0145886,0.4567297],"study_design_scores_gemma":[0.0001677757,0.002146892,0.008151409,0.0002311034,0.0003181456,0.004536276,0.005448437,0.4528311,0.02593897,0.3644337,0.1355211,0.0002750901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3181196,0.0002544791,0.6026554,0.003804675,0.0003184922,0.0001420247,0.00003889844,0.0005257488,0.07414077],"genre_scores_gemma":[0.8591718,0.0001342666,0.1153348,0.0006476656,0.00006256111,0.00006561139,0.00004979574,0.00007793389,0.02445555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004141993,"threshold_uncertainty_score":0.01385635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870801835334667,"score_gpt":0.3049627296776519,"score_spread":0.2762547113243052,"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."}}