{"id":"W7000714989","doi":"","title":"Getting Bigger In Texas","year":2020,"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":"Work (physics); Government (linguistics); Electric utility","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":[0.0006008667,0.0004764189,0.0002157568,0.0006143299,0.00922713,0.005833832,0.0006847797,0.002374817,0.3730341],"category_scores_gemma":[0.001290606,0.0002835977,0.0003602288,0.0008294304,0.0009905499,0.00320079,0.004269712,0.003697472,0.1050669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004138808,"about_ca_system_score_gemma":0.009062511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08733613,"about_ca_topic_score_gemma":0.1925128,"domain_scores_codex":[0.9993057,0.0000412385,0.00001151945,0.00008028902,0.0001485336,0.0004126366],"domain_scores_gemma":[0.9985939,0.00005236527,0.00003007896,0.00005829646,0.0002529953,0.001012387],"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":[0.000009505232,0.0000115504,0.0002771242,0.00001684333,6.279378e-7,0.00005256765,0.0001698781,0.00001057123,0.00009231497,0.00445565,0.9842609,0.01064239],"study_design_scores_gemma":[0.000002854752,0.000008232799,0.001167418,0.00002452526,8.350743e-7,0.00002816351,0.0005967848,0.000008819727,0.0000538111,0.0002996932,0.9978048,0.000004048739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008411073,0.002197217,0.0002963142,0.08915153,0.007164555,0.00006784966,0.002925682,0.0007176566,0.8890681],"genre_scores_gemma":[0.01189381,0.0009233665,0.0002282082,0.01314117,0.0004898227,0.00004776278,0.001062735,0.0002403573,0.9719729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3730341,"threshold_uncertainty_score":0.8942908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007424770174450288,"score_gpt":0.1917117382000202,"score_spread":0.1842869680255699,"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."}}