{"id":"W7061105359","doi":"","title":"Party Booby Trap","year":2016,"lang":"en","type":"other","venue":"WestminsterResearch (University of Westminster)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Human genome; Genome; Period (music); Television series; Narrative","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":[0.000359429,0.000487392,0.0007569731,0.0009158085,0.0001913588,0.0000506691,0.001484256,0.0003057096,0.06991249],"category_scores_gemma":[0.000006331851,0.0004795985,0.0004362425,0.0003332652,0.0006474243,0.0002021091,0.0005481685,0.0007152865,0.003862845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067577,"about_ca_system_score_gemma":0.0006150481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438184,"about_ca_topic_score_gemma":0.0007769439,"domain_scores_codex":[0.9965512,0.0002425111,0.0002599107,0.0007825801,0.0009684068,0.001195356],"domain_scores_gemma":[0.9979427,0.0001074491,0.0003049349,0.001024653,0.0001259528,0.0004942949],"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":[0.0001230958,0.0004142179,0.004132224,0.0002318468,0.0005871108,0.00005276225,0.0003471687,3.188358e-7,0.000988901,0.0103504,0.9059047,0.07686725],"study_design_scores_gemma":[0.001961508,0.0002454259,0.000505266,0.0004114801,0.00005185149,0.000002520834,0.0006355059,0.00004415465,0.000190255,0.0003892909,0.9950157,0.0005469947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00192313,0.0003314916,0.001795404,0.0005275321,0.0001856282,0.0008220301,0.0006651105,0.0001469521,0.9936027],"genre_scores_gemma":[0.06846048,0.0002109929,0.0002583017,0.0000163568,0.0003833869,0.00000460474,0.0001789333,0.0003578896,0.9301291],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08911104,"threshold_uncertainty_score":0.9997656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974216336249265,"score_gpt":0.2800237600325383,"score_spread":0.2602815966700456,"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."}}