{"id":"W40804530","doi":"","title":"Subject Matter Expert: Working Toward Ensuring The Value In A Project Organization","year":2011,"lang":"en","type":"article","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Subject-matter expert; Subject (documents); Value (mathematics); Knowledge management; Work (physics); Legitimacy; Subject matter; Engineering; Management science; Engineering ethics; Engineering management; Computer science; Expert system; Political science; Sociology; Curriculum; Pedagogy; Library science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005987189,0.0001376363,0.0001662259,0.0006175222,0.000346841,0.0002431643,0.0006532012,0.00006624778,0.0005590999],"category_scores_gemma":[0.00005716387,0.0001391849,0.00005451004,0.001875801,0.00007292523,0.001872568,0.0005415311,0.0002670116,0.0004176551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006695502,"about_ca_system_score_gemma":0.00002620084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00258483,"about_ca_topic_score_gemma":0.001175713,"domain_scores_codex":[0.9991026,0.00004672247,0.0001733501,0.0002338896,0.0002175061,0.0002259266],"domain_scores_gemma":[0.9991971,0.00002262961,0.000197606,0.0003145311,0.0002606832,0.000007419662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001245486,0.0003700877,0.7141899,0.0001653434,0.00008738051,0.0000597045,0.01542272,0.000007715923,0.0009728011,0.2582649,0.005919569,0.00441539],"study_design_scores_gemma":[0.002450817,0.00003346849,0.8662771,0.0003306703,0.0001204329,0.000005061754,0.04857722,0.001321955,0.0002287151,0.003939732,0.07588406,0.0008307947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5826408,0.00004814747,0.001179877,0.001531509,0.000310429,0.0005045148,0.000001025058,0.0001152215,0.4136684],"genre_scores_gemma":[0.9980329,0.000005756839,0.0006879058,0.0005689939,0.00009573895,8.251641e-7,0.00001174485,0.00002065119,0.0005754418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4153921,"threshold_uncertainty_score":0.6121752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615096846709592,"score_gpt":0.2073009255342651,"score_spread":0.1457912408633059,"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."}}