{"id":"W6989474941","doi":"","title":"Battle of the Billionaires & Other Social Media Storylines","year":2023,"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":"Battle; Social media; Watson; Reputation; Meaning (existential); Disinformation; Monster; Launched","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":[0.002244953,0.0008319883,0.0003192124,0.001511354,0.01335311,0.01866899,0.000804466,0.003979404,0.07330152],"category_scores_gemma":[0.009760113,0.0004543231,0.000475589,0.001289772,0.003774169,0.01664544,0.007482026,0.006315514,0.02669426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789748,"about_ca_system_score_gemma":0.001169295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006491664,"about_ca_topic_score_gemma":0.01722557,"domain_scores_codex":[0.9974526,0.0007431789,0.00006491921,0.0002326186,0.0009737663,0.000533025],"domain_scores_gemma":[0.9964384,0.0008798364,0.0002569697,0.0003173513,0.000554982,0.00155253],"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":[0.00003244454,0.00001523134,0.000571686,0.00003895288,0.000007243141,0.0002013167,0.006865278,0.00001990192,0.0002819219,0.02242989,0.9489761,0.02056004],"study_design_scores_gemma":[0.00000221165,0.00000775979,0.0005020978,0.00004437449,0.00000217931,0.00008783309,0.00569945,0.00006013443,0.0001540029,0.001969862,0.9914598,0.00001027774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01599868,0.004222782,0.001672415,0.2534321,0.01435035,0.00006938147,0.0009640047,0.001160118,0.7081302],"genre_scores_gemma":[0.1684708,0.002439294,0.0009672343,0.0378898,0.004991569,0.0001055839,0.0007532415,0.001731714,0.7826508],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9266984,"threshold_uncertainty_score":0.245218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426261429256789,"score_gpt":0.2081142276747887,"score_spread":0.1938516133822208,"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."}}