{"id":"W6991936464","doi":"","title":"Informed Traveler SEG 3 (Nov. 5/17) Visit Florida","year":2017,"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":"State (computer science); Power (physics); Government (linguistics); State government","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":[0.0004853045,0.0006356279,0.0002958739,0.000893914,0.002680328,0.002540687,0.0006950066,0.001850917,0.824028],"category_scores_gemma":[0.001895344,0.0003211119,0.0003354051,0.000705002,0.0002466304,0.002141971,0.002038396,0.001870731,0.6571107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303472,"about_ca_system_score_gemma":0.00201346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04000765,"about_ca_topic_score_gemma":0.130433,"domain_scores_codex":[0.9996784,0.00002634332,0.000007423478,0.00003354249,0.0001390875,0.0001153251],"domain_scores_gemma":[0.9991258,0.00005046012,0.00002263994,0.00005141449,0.0004438409,0.0003059068],"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":[0.000007817082,0.000004505984,0.00003897978,0.00001075406,2.534322e-7,0.00001291474,0.00002097667,0.000004193835,0.00002971613,0.0002749605,0.9936517,0.005943142],"study_design_scores_gemma":[0.000002206519,0.000004108877,0.0002430015,0.00002196892,4.031492e-7,0.000009433023,0.00006830302,0.00001438887,0.00003060293,0.00006839466,0.9995347,0.000002488547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005739625,0.0002617172,0.0003071324,0.002946992,0.001642531,0.0001843926,0.007612253,0.001570239,0.9849007],"genre_scores_gemma":[0.001240331,0.0001324409,0.0001237569,0.0008347025,0.0001240104,0.00004417366,0.001738421,0.0003483269,0.9954138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.824028,"threshold_uncertainty_score":0.2510028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009075225358499237,"score_gpt":0.2102369272999988,"score_spread":0.2011617019414996,"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."}}