{"id":"W2088401202","doi":"10.1080/15710880412331289926","title":"Patterns of interaction in construction team meetings","year":2004,"lang":"en","type":"article","venue":"CoDesign","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Knowledge management; Computer science; Human–computer interaction; Process management; Sociology; Public relations; Engineering; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001279233,0.0000518093,0.00008480082,0.00008267206,0.00001353523,0.000004554966,0.00005695327,0.00005320364,0.0001828213],"category_scores_gemma":[0.000007799594,0.00005264113,0.00002130512,0.00007532546,0.00001769694,0.00005835836,0.000007556237,0.00009954091,0.00004331923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004282943,"about_ca_system_score_gemma":0.00001127279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006514018,"about_ca_topic_score_gemma":0.0001182851,"domain_scores_codex":[0.9995558,0.00002587146,0.000165835,0.000107403,0.00004778362,0.00009725588],"domain_scores_gemma":[0.9997473,0.00002222115,0.00008140871,0.0001144738,0.00001904773,0.00001557441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003623989,0.0004380406,0.8244821,0.00007979381,0.00004644074,0.00001537365,0.01281153,0.002777734,0.01140329,0.0753561,0.0004883417,0.07173889],"study_design_scores_gemma":[0.005989005,0.0008277138,0.9495379,0.0005816937,0.00003524188,0.0002346996,0.008044652,0.002639193,0.01519157,0.01051908,0.005744644,0.0006546002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976925,0.00002119652,0.01308155,0.00006990865,0.00056789,0.00008403162,0.000005260485,0.0000185825,0.009226603],"genre_scores_gemma":[0.9990675,0.00001080525,0.0007008472,0.00003910215,0.00003471492,0.000009443971,0.000004394179,0.000006666489,0.0001264718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250558,"threshold_uncertainty_score":0.2146643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062775151552821,"score_gpt":0.3005626362477501,"score_spread":0.2799348847322219,"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."}}