{"id":"W7005637145","doi":"","title":"Review of \"Always Ready: A History of the Royal Regiment of Canada\" by Donald E. Graves with Captain (ret’d) Mihail Murgoci","year":2022,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Circulation (fluid dynamics); History of medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.003802299,0.00134602,0.001973505,0.006838571,0.00568236,0.00752112,0.00314089,0.003813992,0.03062353],"category_scores_gemma":[0.01790242,0.0006879521,0.0006953435,0.009546907,0.005412932,0.004578195,0.003181005,0.006326493,0.01591481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03902079,"about_ca_system_score_gemma":0.06925745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7214037,"about_ca_topic_score_gemma":0.8651319,"domain_scores_codex":[0.9943271,0.0004405418,0.0002843188,0.0004643029,0.00389224,0.0005913863],"domain_scores_gemma":[0.9663938,0.0017435,0.0006489675,0.0004773533,0.02696273,0.003773759],"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":[0.000006681317,0.000002134496,0.00003004934,0.0003386098,0.000002922249,0.00001953031,0.00007041996,0.00001259887,0.00002197679,0.0007049196,0.9847232,0.01406693],"study_design_scores_gemma":[0.000001572978,0.000001964186,0.0001805416,0.0005783759,0.000003493528,0.00003150824,0.0000773193,0.000002667451,0.00001168486,0.0001183665,0.9989855,0.000006996194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000120581,0.7357723,0.0001756638,0.09452292,0.1466636,0.00003962661,0.0004241763,0.00007693476,0.02220415],"genre_scores_gemma":[0.003802983,0.7482661,0.0004741836,0.0816727,0.04805894,0.00006746687,0.0007020408,0.0002428126,0.1167129],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2785963,"threshold_uncertainty_score":0.5604739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008402308639107866,"score_gpt":0.1709621523861525,"score_spread":0.1625598437470446,"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."}}