{"id":"W2778734562","doi":"10.1177/0001839217750856","title":"More and Less Effective Updating: The Role of Trajectory Management in Making Sense Again","year":2017,"lang":"en","type":"article","venue":"Administrative Science Quarterly","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sensemaking; Process (computing); Computer science; Event (particle physics); Test (biology); Trajectory; Cognitive psychology; Work (physics); Psychology; Unexpected events; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01066182,0.0004841778,0.000414392,0.001541756,0.002457718,0.007219905,0.00135273,0.001498541,0.001927872],"category_scores_gemma":[0.08350644,0.0004946046,0.0004112717,0.0009433528,0.007539062,0.006946943,0.005700034,0.002168087,0.0002225462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845119,"about_ca_system_score_gemma":0.003413963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004804871,"about_ca_topic_score_gemma":0.002919432,"domain_scores_codex":[0.9846129,0.009316647,0.0008011165,0.001451726,0.002618963,0.001198555],"domain_scores_gemma":[0.9463926,0.0274943,0.01055461,0.008170217,0.003640052,0.003748132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004495005,0.0005936918,0.1546228,0.0005009192,0.0001328549,0.0006696007,0.5408269,0.002226662,0.01299142,0.02252529,0.001533247,0.2629271],"study_design_scores_gemma":[0.0001434595,0.001284358,0.4248364,0.0009014923,0.0002113869,0.001391467,0.4437826,0.01046656,0.006662725,0.06279651,0.0471191,0.0004039151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964019,0.0005610021,0.01513296,0.001929931,0.00007215438,0.00007264966,0.00003092741,0.0001023243,0.01807897],"genre_scores_gemma":[0.9950852,0.0001182558,0.00413822,0.0001031017,0.00001669263,0.00001463236,0.00001903548,0.00002644325,0.0004783672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066182,"threshold_uncertainty_score":0.0563857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557270114756753,"score_gpt":0.3697502444296595,"score_spread":0.344177543282092,"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."}}