{"id":"W4250898897","doi":"10.1109/mcc.2015.83","title":"IEEE Computer Society Richard E. Merwin Student Leadership Scholarship","year":2015,"lang":"en","type":"article","venue":"IEEE Cloud Computing","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Scholarship; Computer science; Data science; Multimedia; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002193755,0.0006221012,0.0006038811,0.002007704,0.003417526,0.00481448,0.0007132249,0.001696695,0.1371968],"category_scores_gemma":[0.00614014,0.000263143,0.0003212971,0.001497106,0.0009477717,0.002312436,0.004097247,0.003096684,0.08585161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174542,"about_ca_system_score_gemma":0.007349694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202414,"about_ca_topic_score_gemma":0.006176103,"domain_scores_codex":[0.9984072,0.0001862586,0.00006335702,0.0001962712,0.0008794377,0.0002675619],"domain_scores_gemma":[0.991104,0.0004258572,0.0001814296,0.0004438571,0.003887586,0.00395731],"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":[0.00001711707,0.00007220578,0.0006295026,0.00004595924,0.000004200745,0.00006327465,0.000118535,0.00007564964,0.0001883547,0.0158948,0.8897198,0.09317048],"study_design_scores_gemma":[0.000005839708,0.00002427651,0.0005391777,0.0000731232,0.000002991437,0.00009107823,0.0001354551,0.0001346721,0.0001506675,0.003035504,0.9958015,0.000005614745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004410489,0.009256357,0.003083715,0.139091,0.04925961,0.00008217039,0.0003568557,0.000609856,0.79385],"genre_scores_gemma":[0.01814359,0.005651493,0.001134625,0.003426016,0.003026294,0.00003816351,0.0002101319,0.0001413542,0.9682283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1371968,"threshold_uncertainty_score":0.4589689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325778254763475,"score_gpt":0.3055568774342301,"score_spread":0.1729790519578826,"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."}}