{"id":"W4400294333","doi":"10.3390/rel15070797","title":"Adaptation to Third-Party Payments: Statistical Analysis of Digital Donations Made to Donglin Monastery","year":2024,"lang":"en","type":"article","venue":"Religions","topic":"Media, Religion, Digital Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Donation; Mainland China; Context (archaeology); Payment; Mainland; Statistical software; The Internet; Adaptation (eye); Scale (ratio); Computer science; Advertising; Business; World Wide Web; Geography; Data science; China; Political science; Psychology; Law; Cartography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001375551,0.0001530728,0.0002503486,0.0008074885,0.0001724856,0.0006309413,0.0002456364,0.00004361054,0.0001811186],"category_scores_gemma":[0.0002474754,0.0001377522,0.0001537254,0.0006375349,0.0001068289,0.0003953341,0.000112253,0.0001208542,0.0004873507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008587661,"about_ca_system_score_gemma":0.00008434962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003412467,"about_ca_topic_score_gemma":0.00107939,"domain_scores_codex":[0.9985718,0.00004238094,0.0005092856,0.0002843607,0.0003836107,0.0002086008],"domain_scores_gemma":[0.9986303,0.0004777962,0.00005762042,0.0004272368,0.0002200861,0.0001869623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002307008,0.0001560666,0.0001753119,0.00003904058,0.0005615973,0.000004559938,0.0251916,0.002714881,0.00007094752,0.9138927,0.05217892,0.004991252],"study_design_scores_gemma":[0.0005038282,0.0007842392,0.005345997,0.0005897777,0.003018284,0.000006417789,0.004403938,0.05018646,0.0002380882,0.2490824,0.6844699,0.001370592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2007477,0.001994376,0.1137213,0.01566473,0.00155551,0.001864648,0.00782309,0.0009386388,0.65569],"genre_scores_gemma":[0.9944825,0.0001030356,0.00075393,0.000270548,0.0001110137,0.00009363553,0.0009014608,0.00002417824,0.003259746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7937347,"threshold_uncertainty_score":0.6264069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0484774785148603,"score_gpt":0.2899124855426293,"score_spread":0.241435007027769,"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."}}