{"id":"W7010161994","doi":"","title":"The Greg Morgan Morning Show - Monday, December 11, Hour 2","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"American Sports and Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Joins; White (mutation); Morning; Join (topology); Gray (unit)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003180356,0.0005971905,0.0002639886,0.0007411848,0.004450498,0.003833663,0.0004883666,0.001463696,0.6906292],"category_scores_gemma":[0.0009961203,0.0003960168,0.0002766307,0.0007782169,0.0003796628,0.001723423,0.001869642,0.001763329,0.4158205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009841964,"about_ca_system_score_gemma":0.001554855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03036799,"about_ca_topic_score_gemma":0.143213,"domain_scores_codex":[0.999759,0.00002777263,0.000004914527,0.00002962782,0.0001039677,0.0000747442],"domain_scores_gemma":[0.9993622,0.00002739764,0.00001518348,0.00002466589,0.0002015856,0.0003690507],"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":[0.000006590913,0.000005317051,0.00004024384,0.000008166439,2.701004e-7,0.00001834056,0.00002207971,0.000002370221,0.00002541073,0.0001873744,0.9961665,0.003517265],"study_design_scores_gemma":[0.000001866688,0.000004341306,0.0003522716,0.00001938894,4.375958e-7,0.00001436875,0.0001635656,0.000006348521,0.00002256848,0.00004830629,0.9993646,0.000001974108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008113987,0.00105403,0.0001482799,0.005881851,0.00530177,0.00007637301,0.001765858,0.0005707789,0.9843896],"genre_scores_gemma":[0.001246276,0.0002675367,0.00006466039,0.0007114025,0.0001790369,0.00001341065,0.0002860737,0.0001229906,0.9971086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6906292,"threshold_uncertainty_score":0.4412798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006824116621474264,"score_gpt":0.1761241090786002,"score_spread":0.1692999924571259,"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."}}