{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000468617,0.0008965809,0.0003474786,0.0008642245,0.007859194,0.005114993,0.001024678,0.002197237,0.6035514],"category_scores_gemma":[0.001816218,0.0003568497,0.0004727487,0.0006646265,0.00115802,0.00298308,0.004414521,0.003664523,0.1964108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915794,"about_ca_system_score_gemma":0.00150308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497085,"about_ca_topic_score_gemma":0.0532957,"domain_scores_codex":[0.9994051,0.00004988761,0.00000862522,0.0001223942,0.0002073014,0.0002067295],"domain_scores_gemma":[0.9993876,0.00007909976,0.00002837317,0.00006039197,0.0001555074,0.0002890527],"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":[0.00007215743,0.00002586676,0.0002021772,0.00006929015,0.000002631484,0.0002000382,0.0007511433,0.00002313996,0.0004047891,0.009014717,0.9579221,0.03131192],"study_design_scores_gemma":[0.000002587725,0.00000936421,0.0002315118,0.00002388311,6.681499e-7,0.00005819038,0.0003399573,0.00001229454,0.00008036892,0.00020821,0.9990283,0.000004584113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003247632,0.001059059,0.001581531,0.005324999,0.005911908,0.000155561,0.001607261,0.001175229,0.9799368],"genre_scores_gemma":[0.01479826,0.0005131442,0.001182542,0.002421941,0.0006922478,0.00007254697,0.0008624859,0.0008179367,0.9786389],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6035514,"threshold_uncertainty_score":0.5654857,"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."}}