{"id":"W4236960099","doi":"10.1007/978-0-387-39940-9_2692","title":"GiST","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"GiST; Medicine; Cancer research","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008796143,0.001025864,0.001681128,0.0006906571,0.00008993149,0.00004861487,0.001007516,0.0005806256,0.001043314],"category_scores_gemma":[0.0001642652,0.001024234,0.0003831817,0.0001106372,0.0002662703,0.0003671232,0.0002700636,0.0008160357,0.01696913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598073,"about_ca_system_score_gemma":0.0004045636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004892331,"about_ca_topic_score_gemma":0.0001237937,"domain_scores_codex":[0.9948842,0.00009662901,0.001748755,0.001099442,0.001558445,0.000612546],"domain_scores_gemma":[0.9943936,0.0001900447,0.001714172,0.002983599,0.0003430422,0.0003755019],"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":[0.00008048728,0.0001051794,0.00003744678,0.001272092,0.0003279329,0.0004412267,0.0001084768,0.00001976783,0.0002348906,0.2286866,0.7650632,0.003622715],"study_design_scores_gemma":[0.0004966786,0.0001056417,0.0000170336,0.002312775,0.0003000309,0.0000861954,0.0000236073,0.00002259843,0.00001473724,0.0003452305,0.9953145,0.0009609532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001646108,0.00930435,0.00005506091,0.00001579677,0.002129531,0.001329487,0.02544199,0.0003532004,0.9613541],"genre_scores_gemma":[0.0004899499,0.002593806,0.0004543174,0.00002363189,0.002412581,0.00003799625,0.008341943,0.0005150319,0.9851307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2302513,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204427377112492,"score_gpt":0.2485901359969065,"score_spread":0.2281473982856573,"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."}}