{"id":"W2083352365","doi":"10.1190/tle27091212.1","title":"Kegs Foundation Scholarships","year":2008,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Graduate students; Library science; Political science; Engineering; Management; Medical education; Engineering ethics; Medicine; Law; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005893943,0.001058831,0.001218049,0.004098199,0.002543629,0.005016461,0.001874628,0.002029391,0.2519364],"category_scores_gemma":[0.01800436,0.0005753582,0.0005661543,0.002650026,0.001161383,0.002304513,0.006439466,0.00327143,0.1266216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005194846,"about_ca_system_score_gemma":0.02325744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082333,"about_ca_topic_score_gemma":0.02849417,"domain_scores_codex":[0.9957597,0.0003730405,0.0002070267,0.0003932212,0.002419471,0.000847597],"domain_scores_gemma":[0.9875618,0.0005265333,0.0003745556,0.0008535348,0.00533236,0.005351234],"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":[0.00009328429,0.00005278495,0.0004468836,0.0001382484,0.00001231406,0.0000749782,0.00005421427,0.0001467825,0.0001987787,0.03088662,0.8931591,0.07473604],"study_design_scores_gemma":[0.00001181824,0.00001532225,0.0003811998,0.00008030741,0.000002709091,0.0000342474,0.00004053459,0.00005030348,0.00007674843,0.00274545,0.9965564,0.000005042646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004200581,0.01126129,0.003331862,0.08175547,0.03176054,0.0004623022,0.01952477,0.002809836,0.8448933],"genre_scores_gemma":[0.01501516,0.01067661,0.007865206,0.0067481,0.001564484,0.0002129241,0.01779235,0.0009522351,0.9391729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2519364,"threshold_uncertainty_score":0.8428112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127595243622981,"score_gpt":0.3573669023745283,"score_spread":0.2297716587515474,"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."}}