{"id":"W7040012538","doi":"","title":"The Greatest Joy","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sermon; Gloom; Natural (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.0002163025,0.0002158656,0.0001910004,0.00006064735,0.0001084544,0.0003853933,0.0006509808,0.0002057224,0.02206302],"category_scores_gemma":[0.00005421985,0.0001546377,0.0001095743,0.00001193322,0.000146393,2.607809e-7,0.0001410192,0.000258708,0.02874026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002340272,"about_ca_system_score_gemma":0.00004971143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000784219,"about_ca_topic_score_gemma":0.0002639588,"domain_scores_codex":[0.9988763,0.00003871594,0.0003755477,0.0001915222,0.0002935362,0.0002243682],"domain_scores_gemma":[0.9990402,0.00006094459,0.000316181,0.0004260708,0.00009935087,0.00005718095],"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":[0.000003402507,0.000005053906,1.724827e-7,0.0002258408,0.0000272492,0.000007893914,0.00006878783,0.000007868685,5.015709e-8,0.0002761573,0.9621978,0.03717966],"study_design_scores_gemma":[0.00009645367,0.0000351249,4.645616e-7,0.0002609731,0.00001900884,0.0002099844,0.00002577873,0.0001942226,0.000008785902,0.0001859046,0.9987844,0.0001788716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.052487e-7,0.001775768,0.00002531973,0.0005087256,0.001239297,0.0001410762,0.00001311851,0.000400889,0.9958952],"genre_scores_gemma":[0.00006078916,0.0002776113,0.003728402,0.000100565,0.0001761053,0.000009474963,0.000009066795,0.00006491797,0.995573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03700078,"threshold_uncertainty_score":0.9788309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004773748380097373,"score_gpt":0.1808336281215199,"score_spread":0.1760598797414225,"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."}}