{"id":"W7009751886","doi":"","title":"Ep.150 - The News Is Dead So What Comes Next?","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Headline; Government (linguistics); News media; Event (particle physics)","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":["insufficient_payload"],"category_scores_codex":[0.0006973403,0.0006646303,0.0003871606,0.001301184,0.003842938,0.007526703,0.001088931,0.004323384,0.566098],"category_scores_gemma":[0.004895363,0.0005142613,0.0003817738,0.001786741,0.001028702,0.003538548,0.002008646,0.002975089,0.4242887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004685641,"about_ca_system_score_gemma":0.006995146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2574061,"about_ca_topic_score_gemma":0.4210611,"domain_scores_codex":[0.9991316,0.00004987695,0.00003396489,0.00006949419,0.0005301331,0.000184977],"domain_scores_gemma":[0.9979252,0.0003052613,0.00007305314,0.0001531678,0.001211304,0.0003321269],"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":[0.00000861642,0.000004773347,0.00006401284,0.00005541271,7.919364e-7,0.0000297906,0.0001038917,0.000008663501,0.0000442082,0.005104678,0.9855952,0.008979929],"study_design_scores_gemma":[0.000003259765,0.00000220457,0.0004846522,0.00009524923,0.000001139791,0.00002033772,0.00009983405,0.000007032161,0.00004905648,0.000434046,0.9987997,0.000003655746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000195038,0.001164305,0.00012192,0.003538288,0.0007208207,0.00005117769,0.006201035,0.0004959974,0.9875114],"genre_scores_gemma":[0.001426181,0.0005921235,0.00008020738,0.002293715,0.0001367122,0.00003551691,0.001376266,0.0003679083,0.9936913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.433902,"threshold_uncertainty_score":0.6189085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009327724529351954,"score_gpt":0.2078986634691718,"score_spread":0.1985709389398198,"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."}}