{"id":"W6910487133","doi":"10.48448/atrt-7e37","title":"Aniket Kali, University of Toronto","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 Toronto","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Context (archaeology)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006427508,0.000248508,0.0003164726,0.0003252125,0.0000722016,0.00004869362,0.001279264,0.0001769954,0.01280436],"category_scores_gemma":[0.00004811505,0.0002501855,0.00007546862,0.0007151826,0.00190898,0.000232783,0.0004502931,0.000172903,0.01055419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006474785,"about_ca_system_score_gemma":0.0007957618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02207146,"about_ca_topic_score_gemma":0.0487252,"domain_scores_codex":[0.9978065,0.00003375629,0.0001557473,0.0007253516,0.0008740037,0.0004045685],"domain_scores_gemma":[0.9987379,0.00001631821,0.0002114611,0.000743152,0.0001186064,0.0001725583],"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":[0.000006018292,0.00005592037,0.00002183307,0.00007873296,0.00003168991,0.00002905921,0.0002485515,0.000003087956,0.00258089,0.01001757,0.9854218,0.001504898],"study_design_scores_gemma":[0.0001702344,0.00006014102,0.00003510196,0.0002573373,0.00007387118,0.000006557349,0.0007002095,0.000959032,0.000106719,0.0005627532,0.996757,0.0003109978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004029278,0.002662655,0.0002161844,0.0000566302,0.0006680644,0.0002104813,0.0005028025,0.0005010146,0.9951419],"genre_scores_gemma":[0.008075914,0.0001364805,0.006814739,0.00003269872,0.0002096318,2.921978e-7,0.00003025765,0.000520087,0.9841799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02665373,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545138102176567,"score_gpt":0.2717368648383547,"score_spread":0.2562854838165891,"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."}}