{"id":"W7005913406","doi":"","title":"SHORT CUTS #237 - Shitty Media Management","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Regret; Midnight; Print media; News media","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":[0.001751616,0.0009537112,0.0006596932,0.002053556,0.004925871,0.01064385,0.001409731,0.004262786,0.7081262],"category_scores_gemma":[0.02139577,0.0007160697,0.0005633192,0.001544265,0.001078871,0.005254652,0.004352512,0.005437057,0.6589755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002570109,"about_ca_system_score_gemma":0.003991478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009873876,"about_ca_topic_score_gemma":0.0167792,"domain_scores_codex":[0.9970795,0.0002859426,0.0001529378,0.0002475474,0.001895284,0.0003388219],"domain_scores_gemma":[0.9802502,0.002164073,0.000663141,0.001972053,0.01120223,0.003748282],"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":[0.000003800283,0.000003301815,0.00001554918,0.00001033703,2.105261e-7,0.00001444496,0.0000173772,0.000001915075,0.00002588566,0.0002746644,0.9948676,0.004764905],"study_design_scores_gemma":[0.000002784253,0.00000399835,0.0001635006,0.00002627721,5.946425e-7,0.00003419525,0.0001107132,0.00001277648,0.00003680635,0.0001745095,0.9994296,0.000004271214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005203169,0.0008901379,0.0009756623,0.07117441,0.1009886,0.0003297143,0.002887368,0.006256309,0.8159774],"genre_scores_gemma":[0.0008943059,0.000203551,0.0002423893,0.007430581,0.004074635,0.00006598139,0.0006493702,0.0008623403,0.9855768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7081262,"threshold_uncertainty_score":0.4163225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004040018005690228,"score_gpt":0.1946609916031695,"score_spread":0.1906209735974793,"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."}}