{"id":"W7034208475","doi":"","title":"Surco - 2017/07/07 Atomic Cowboy Bootleg","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guitar; Quarter (Canadian coin); Sky; Roller coaster","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001012468,0.0003033075,0.0005452214,0.0001225689,0.0004200867,0.0001708306,0.0007295063,0.0004618599,0.4920687],"category_scores_gemma":[0.0003901909,0.0003056737,0.0003185365,0.000009398129,0.0004231106,5.05288e-7,0.0001147545,0.0002622104,0.03751267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008634692,"about_ca_system_score_gemma":0.0002012757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04579804,"about_ca_topic_score_gemma":0.015519,"domain_scores_codex":[0.9977896,0.0002974501,0.0005179099,0.0002464133,0.0007796629,0.0003689776],"domain_scores_gemma":[0.9977795,0.0002924263,0.001043443,0.0004495647,0.0002488283,0.0001861846],"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":[0.00002305533,0.00002721298,0.000005182512,0.00009285167,0.0001038612,0.00001232689,0.0004252331,0.00005143106,5.008573e-8,0.0005394567,0.9920048,0.006714587],"study_design_scores_gemma":[0.0002796174,0.00002895503,0.0000170729,0.0001565536,0.00009175298,0.000008136077,0.0001957354,0.00002493428,8.403318e-7,0.0001562333,0.9987021,0.0003380488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002590296,0.0005274857,0.000005565814,0.0004370737,0.0005920551,0.0003200576,0.00009488274,0.0001777174,0.9978192],"genre_scores_gemma":[0.0008093835,0.0006000495,0.001702701,0.0001323088,0.0005735615,0.00001033498,0.0001330794,0.00007170487,0.9959669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.454556,"threshold_uncertainty_score":0.9999396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587365400397099,"score_gpt":0.2647102892126951,"score_spread":0.2488366352087241,"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."}}