{"id":"W6929540443","doi":"10.48448/a2jj-qx54","title":"Elena Nicoladis, University of British Columbia","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Columbia university; Field (mathematics); Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000706382,0.0001803025,0.0004062217,0.0004777585,0.0001172995,0.0003065678,0.00148089,0.0002334348,0.008558257],"category_scores_gemma":[0.00006998134,0.000334724,0.0001023258,0.002260254,0.003171323,0.0001829132,0.0005044625,0.0003622721,0.009576145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473198,"about_ca_system_score_gemma":0.001251478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1419208,"about_ca_topic_score_gemma":0.5629008,"domain_scores_codex":[0.9972394,0.00004302529,0.0002154891,0.0009536688,0.00100639,0.0005420399],"domain_scores_gemma":[0.9986123,0.00002090769,0.0002768659,0.0006894824,0.0001721641,0.0002283105],"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":[0.000001538778,0.00007096733,0.0001879756,0.00009947611,0.00003127905,0.00008598784,0.00003415114,0.000001780856,0.0004933365,0.0001620018,0.9954631,0.003368358],"study_design_scores_gemma":[0.0002893855,0.00006386581,0.0003978895,0.0008278775,0.0001039621,0.00004260759,0.000337478,0.0006734247,0.000008022081,0.0007497043,0.9960726,0.0004331945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001048328,0.001886487,0.0001304546,0.00004262307,0.0008648456,0.0005045104,0.003597063,0.0008701937,0.9910555],"genre_scores_gemma":[0.01104994,0.0001387266,0.00317502,0.00002997235,0.0001512914,5.974628e-7,0.0000487661,0.0005568254,0.9848489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.42098,"threshold_uncertainty_score":0.9999105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032744738988385,"score_gpt":0.2306943223587085,"score_spread":0.2203668749688246,"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."}}