{"id":"W6961330346","doi":"10.14288/1.0376245","title":"Government auction sale of property at Prince George, Fort George and South Fort George","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Soil and Environmental Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Government (linguistics); Property (philosophy); Real property","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001108288,0.0001094025,0.0001701897,0.000003180745,0.001096166,0.00009129572,0.0001386665,0.0000487192,0.001178725],"category_scores_gemma":[0.00001041469,0.00004032454,0.0000504071,0.0002268776,0.00006254437,0.0001443024,0.0004866467,0.00005345478,0.00003467798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244232,"about_ca_system_score_gemma":0.000004636673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006110727,"about_ca_topic_score_gemma":0.006179028,"domain_scores_codex":[0.9991705,0.0000206599,0.00016207,0.0002690256,0.0001953864,0.0001823735],"domain_scores_gemma":[0.9997536,0.00003279752,0.00008239478,0.00006181339,0.00001361719,0.00005579688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003754315,0.0007212046,0.8528726,0.00004409587,0.0001878103,0.000002144114,0.0005644898,0.000051326,0.05237456,0.00007083506,0.07171439,0.02102117],"study_design_scores_gemma":[0.000355602,0.0004056348,0.5912501,0.00001964993,0.00002662825,0.00001198133,0.001334802,0.00005447865,0.003394878,0.0001060953,0.4028394,0.0002007646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057906,0.00004039958,0.000001000276,0.0003507195,0.0001384612,0.0006396504,0.00009442131,0.000016964,0.09292778],"genre_scores_gemma":[0.5583453,0.00009222789,0.0000346489,0.00004566396,0.00003454266,0.00007770857,0.00001163295,0.000001185487,0.441357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3484293,"threshold_uncertainty_score":0.9997343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304644184271917,"score_gpt":0.1866418073189216,"score_spread":0.1735953654762025,"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."}}