{"id":"W7039645868","doi":"","title":"Model Of Downtown Ottawa 05 April 2008","year":2008,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Center (category theory); Information center; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001129371,0.0002644203,0.0003745159,0.000105401,0.00006372235,0.00003523118,0.0008394276,0.0002074762,0.02948448],"category_scores_gemma":[0.00002380367,0.0002724219,0.0001841158,0.0000225604,0.0001168472,4.634219e-7,0.0001829592,0.0001754444,0.003046937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002652184,"about_ca_system_score_gemma":0.0001042625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941807,"about_ca_topic_score_gemma":0.00022009,"domain_scores_codex":[0.998352,0.00003142503,0.0006513951,0.000236799,0.0005204696,0.0002079055],"domain_scores_gemma":[0.99816,0.00009667084,0.000747634,0.0006427519,0.0002521951,0.000100733],"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":[0.000004748111,0.00005881517,3.143598e-7,0.0001188411,0.00003313495,0.000001802959,0.0001318543,0.0151081,9.991348e-7,0.003679492,0.9773804,0.003481518],"study_design_scores_gemma":[0.0002394467,0.00004139654,0.000004595665,0.00006653211,0.00001266423,0.00002697389,0.000003882259,0.01834551,0.00001120661,0.0003795472,0.9806162,0.0002521233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005483916,0.0001636865,0.001352026,0.000238681,0.0001286389,0.0003064777,0.000157248,0.0001582043,0.9974896],"genre_scores_gemma":[0.001256239,0.0001859979,0.03238026,0.0002246171,0.00008342876,0.00001845084,0.0001035138,0.00005563348,0.9656919],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0317977,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009426685833374525,"score_gpt":0.1922564853345469,"score_spread":0.1828297995011723,"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."}}