{"id":"W7048057579","doi":"","title":"18 to Life (2010–11) Sitcom ft Michael Seater, Stacey Farber","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Performance art; Upload; Publishing; Headline; Quality (philosophy)","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":[0.0003622789,0.0007541587,0.0002947963,0.0008153885,0.00293946,0.002897565,0.0006302008,0.001087247,0.6546662],"category_scores_gemma":[0.001258045,0.0002782898,0.0002399555,0.00104239,0.0003071375,0.001892283,0.001744975,0.001278071,0.5259683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003609115,"about_ca_system_score_gemma":0.004193226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2691618,"about_ca_topic_score_gemma":0.6029144,"domain_scores_codex":[0.9997168,0.00001224664,0.000005365505,0.00003511776,0.0001334144,0.00009710122],"domain_scores_gemma":[0.9990657,0.00002174987,0.00001673154,0.00004145482,0.0005153611,0.0003391179],"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":[0.000003617533,0.00000242244,0.00003369322,0.00001009075,1.468602e-7,0.000007830657,0.00002474497,0.000002192636,0.00002876276,0.0002197016,0.9926394,0.00702733],"study_design_scores_gemma":[0.000001196229,0.000001614943,0.0002699588,0.00001417946,2.224273e-7,0.000007478787,0.00004909301,0.000002888043,0.0000272116,0.00001814641,0.9996064,0.000001639757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007228729,0.001124848,0.0002386031,0.003468301,0.003165342,0.00009224402,0.01777952,0.001435359,0.971973],"genre_scores_gemma":[0.0009762663,0.0004424849,0.0001024436,0.0004453741,0.00009718417,0.00002351088,0.003232385,0.0003610585,0.9943193],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6546662,"threshold_uncertainty_score":0.5351902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0074828174302827,"score_gpt":0.1897873394725393,"score_spread":0.1823045220422566,"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."}}