{"id":"W4237928024","doi":"10.20460/jgsm.2013715670","title":"MAXIMIZING YOUR ORGANIZATION S COLLABORATIVE CAPACITY THROUGH GOAL-BASED TRANSIENT COLLABORATIONS","year":2013,"lang":"en","type":"article","venue":"Journal of Global Strategic Management","topic":"Business and Economic Development","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Transient (computer programming); Process management; Business; Computer science; Knowledge 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001693627,0.0001623317,0.0002026861,0.00002237656,0.0001753641,0.0001908404,0.0002329252,0.00004831793,0.003099443],"category_scores_gemma":[0.000006091285,0.0001390497,0.00004274001,0.0009148161,0.00007150412,0.000556312,0.00005017933,0.00007378176,0.000269916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008567196,"about_ca_system_score_gemma":0.00007063487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001762824,"about_ca_topic_score_gemma":0.0001043241,"domain_scores_codex":[0.998701,0.00004311578,0.0005086509,0.0001850963,0.0003282173,0.0002338609],"domain_scores_gemma":[0.999236,0.000007121108,0.0003610112,0.0001299805,0.0001605014,0.0001054205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002764063,0.00355501,0.1741538,0.0004192675,0.001462031,0.0004788739,0.004078955,0.4906574,0.00336576,0.1767228,0.123996,0.02083357],"study_design_scores_gemma":[0.005341299,0.0004359703,0.8907941,0.0002087403,0.0003189422,0.0001013238,0.0195795,0.004742241,0.0007074754,0.04099058,0.03552091,0.00125894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8546112,0.00003225622,0.01551422,0.003223018,0.0004617715,0.0005318583,0.00001265773,0.0000205812,0.1255925],"genre_scores_gemma":[0.9781683,0.00004711623,0.02124387,0.0003784473,0.00003277534,0.00001162405,0.000004906366,0.000008176714,0.0001048007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7166402,"threshold_uncertainty_score":0.9978119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241127020679566,"score_gpt":0.2174720373998995,"score_spread":0.1950607671931039,"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."}}