{"id":"W4383067281","doi":"10.1002/cprt.31678","title":"Vici Properties Inc.","year":2023,"lang":"en","type":"article","venue":"Corporate Philanthropy Report","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000215695,0.0001593619,0.0002835046,0.0001116188,0.0001287829,0.00002597569,0.00007082002,0.00005283669,0.0003488036],"category_scores_gemma":[0.00004650364,0.0001171889,0.00008327585,0.0004235167,0.0001460914,0.00009328542,0.0001097406,0.0001583158,0.0008248863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004889559,"about_ca_system_score_gemma":0.0001531207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001810774,"about_ca_topic_score_gemma":0.000009260139,"domain_scores_codex":[0.9987165,0.00001799992,0.0003648457,0.0003079279,0.0003185468,0.0002741634],"domain_scores_gemma":[0.9990086,0.00001064004,0.0002133244,0.0004923342,0.0001222228,0.0001528772],"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":[0.0007863176,0.0004993498,0.3236834,0.0004526985,0.000334598,0.1239618,0.0004286787,0.00002549434,0.1587825,0.0007336134,0.3838589,0.006452695],"study_design_scores_gemma":[0.003494998,0.001634517,0.1929,0.00062794,0.0005605198,0.04449138,0.001146186,0.002068916,0.09647739,0.00224541,0.6529703,0.001382526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798461,0.0002818138,0.00002937426,0.009750847,0.0006186135,0.0003681464,0.00001022915,0.0005518132,0.008543041],"genre_scores_gemma":[0.9925664,0.000184049,0.00008156786,0.001171827,0.0003834872,0.00004469431,0.0004045162,0.00003758482,0.005125849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2691114,"threshold_uncertainty_score":0.9999531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322732574766276,"score_gpt":0.3089947575296007,"score_spread":0.1767215000529731,"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."}}