{"id":"W7039327785","doi":"","title":"Mackling & Megarry - Friday, September 1st -- SCOTT THOMPSON!","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Government (linguistics); George (robot); Feature (linguistics)","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":[0.0003337748,0.0008215421,0.0003952399,0.0006537925,0.004434316,0.003320567,0.0007004784,0.001395613,0.7889994],"category_scores_gemma":[0.00148173,0.0005086748,0.0002926409,0.0005826034,0.0006069237,0.002674074,0.00301473,0.002050562,0.5836966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151773,"about_ca_system_score_gemma":0.000950264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804038,"about_ca_topic_score_gemma":0.1100594,"domain_scores_codex":[0.9997426,0.00002187601,0.000006673144,0.00005407611,0.00009545615,0.0000793053],"domain_scores_gemma":[0.9994439,0.00003314248,0.00002175324,0.00003304615,0.0001629142,0.0003052327],"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":[0.00002050473,0.000009527874,0.0001027696,0.00002755962,7.677442e-7,0.00008353064,0.0001479475,0.000006798377,0.0001462224,0.0005853426,0.9810399,0.01782912],"study_design_scores_gemma":[0.000001734466,0.000006805289,0.0004653648,0.00003769108,5.095703e-7,0.0000459931,0.0004410442,0.000008103352,0.00005957993,0.0001033592,0.9988263,0.000003617576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001563165,0.001931699,0.0004320471,0.00793487,0.00395515,0.0001008713,0.001759112,0.00155157,0.9807715],"genre_scores_gemma":[0.001403463,0.0003343911,0.00009134074,0.0005530152,0.00007989304,0.0000129508,0.0001412331,0.0002145093,0.9971691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2110006,"threshold_uncertainty_score":0.3009667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008300492942474171,"score_gpt":0.2064335846597923,"score_spread":0.1981330917173182,"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."}}