{"id":"W6982455511","doi":"","title":"On an Inequality of Diananda, III","year":2006,"lang":"en","type":"other","venue":"Victoria University Research Repository (Victoria University)","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre de Recherches Mathématiques; Université de Montréal; American Institute of Mathematics","keywords":"Inequality; Linear inequality; Log sum inequality; Kantorovich inequality; Calculus (dental)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001395069,0.0005596715,0.0009381801,0.003654169,0.001400474,0.00003268975,0.001847767,0.001188334,0.0008148526],"category_scores_gemma":[0.0001080316,0.0006398384,0.0002938208,0.001936411,0.0005122396,0.0003393751,0.001042482,0.00184409,0.000253059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185696,"about_ca_system_score_gemma":0.001478322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458482,"about_ca_topic_score_gemma":0.006880938,"domain_scores_codex":[0.9900315,0.005432914,0.0004946964,0.001190295,0.001635535,0.001215013],"domain_scores_gemma":[0.9951285,0.0008812649,0.0007067965,0.001944615,0.000712269,0.0006265161],"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":[0.002680615,0.0007215009,0.002497791,0.0006771566,0.0004702059,0.001147781,0.002092086,0.000006922123,0.0004614315,0.1949994,0.7941685,0.00007659521],"study_design_scores_gemma":[0.003028855,0.0005758893,0.0005120751,0.0007431536,0.0001612222,7.909838e-7,0.005866934,0.000009099982,0.00003382824,0.00013569,0.9884033,0.0005291972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01792577,0.00004304871,0.0002310516,0.00005413768,0.003996303,0.001652879,0.0002891038,0.000423295,0.9753844],"genre_scores_gemma":[0.04483109,0.0001131238,0.00007672604,0.00001974846,0.001554672,0.000001857037,0.0001732492,0.0002579404,0.9529716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1948637,"threshold_uncertainty_score":0.9998996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05762744598810589,"score_gpt":0.3676721231876049,"score_spread":0.3100446771994991,"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."}}