{"id":"W6979853946","doi":"","title":"Americanuck Radio-Guest: Kirk Riese, Former Canadian Army Reservist","year":2022,"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":"World War II; Insult; State (computer science); Reputation","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":[0.0007036079,0.001165705,0.000503535,0.000803048,0.007058643,0.002995636,0.0008935087,0.001737309,0.4680037],"category_scores_gemma":[0.002272605,0.0004389468,0.0002588278,0.0006322007,0.0007828731,0.001734011,0.002303063,0.003154518,0.2267301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003080766,"about_ca_system_score_gemma":0.00481225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.23565,"about_ca_topic_score_gemma":0.5146697,"domain_scores_codex":[0.9995441,0.0000371818,0.00001015106,0.00007148072,0.0001619248,0.000175173],"domain_scores_gemma":[0.9979948,0.00009712411,0.00004243633,0.00005071143,0.0009648388,0.0008500592],"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":[0.000007835878,0.000004236874,0.00008052862,0.00001028897,3.70048e-7,0.00003383116,0.00009128152,0.000006605296,0.00004963397,0.000121955,0.9957217,0.003871777],"study_design_scores_gemma":[0.000001956411,0.000003581678,0.0005463067,0.0000394249,7.269636e-7,0.00004908638,0.0009459966,0.00001475089,0.00002613286,0.00004306784,0.9983235,0.000005521702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003029571,0.007181949,0.0006026298,0.06236295,0.05515331,0.000184891,0.002605375,0.001147325,0.867732],"genre_scores_gemma":[0.005860284,0.00204087,0.0001477681,0.005163307,0.002060986,0.00003423339,0.0004513814,0.0002818903,0.9839593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.76435,"threshold_uncertainty_score":0.7588282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00695657826604722,"score_gpt":0.1897314134661084,"score_spread":0.1827748352000612,"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."}}