{"id":"W2118998070","doi":"10.1145/2486046.2486066","title":"Episode measurement method: a data collection technique for observing team processes","year":2013,"lang":"en","type":"article","venue":"","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data collection; Task (project management); Set (abstract data type); Process (computing); Observational methods in psychology; Observational study; Measure (data warehouse); Data set; Data science; Data mining; Artificial intelligence; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009443611,0.0001121766,0.0001346668,0.00006606893,0.0001283506,0.00004485433,0.0004119485,0.00009344241,0.0007487984],"category_scores_gemma":[0.0001508569,0.00009309308,0.00002208144,0.0002405384,0.00001235416,0.0002205043,0.00009436999,0.00009203608,0.00007037076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000056095,"about_ca_system_score_gemma":0.00006666792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627223,"about_ca_topic_score_gemma":0.001134086,"domain_scores_codex":[0.999014,0.00004464958,0.0002092537,0.0003493648,0.0001410771,0.0002416839],"domain_scores_gemma":[0.9988523,0.00009311186,0.00007727955,0.0006369816,0.0002947296,0.00004556009],"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":[0.0001630588,0.0007593624,0.02386437,0.0009705041,0.0003234919,8.239627e-7,0.001580933,0.00003885044,0.03055072,0.006785877,0.8219773,0.1129848],"study_design_scores_gemma":[0.00357646,0.001441021,0.0522997,0.0003470192,0.0002300849,0.0001418575,0.002216625,0.2097694,0.02492743,0.02122269,0.6817927,0.002034928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001668367,0.0001483334,0.9707916,0.0007223933,0.0003247162,0.001829997,0.00002206404,0.0001444332,0.02434811],"genre_scores_gemma":[0.4268453,0.00003527317,0.5528981,0.0007232494,0.0002234193,0.005425508,0.0001010052,0.00005884649,0.01368925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4251769,"threshold_uncertainty_score":0.8198817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412810965307902,"score_gpt":0.382867112747751,"score_spread":0.2415860162169608,"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."}}