{"id":"W2117605382","doi":"","title":"Speech on the Occasion of the Presentation of the Distinguished Canadian Award","year":2019,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Linguistics; Psychology; Computer science; History; Philosophy; 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":[0.002161967,0.0006563556,0.0009346522,0.0007617134,0.0146695,0.006505816,0.001881424,0.008416284,0.02255969],"category_scores_gemma":[0.009328541,0.0003094925,0.0007044324,0.0009100738,0.002576578,0.00106328,0.002117999,0.01633668,0.005243485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03282543,"about_ca_system_score_gemma":0.03722876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7939186,"about_ca_topic_score_gemma":0.9068895,"domain_scores_codex":[0.9968138,0.0001877343,0.00005011438,0.0002194297,0.001608441,0.001120398],"domain_scores_gemma":[0.9954677,0.0003797127,0.00008906818,0.00006824368,0.002385425,0.001609705],"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":[0.00004789757,0.000008222859,0.000193709,0.00001996938,0.000005489554,0.0002862222,0.0007235018,0.00003841216,0.0002605516,0.004269514,0.9920408,0.002105649],"study_design_scores_gemma":[0.000006748179,0.000008172066,0.001562314,0.00004199342,0.000006554171,0.00006593514,0.002425939,0.00005731124,0.0002045251,0.0004119349,0.9951801,0.00002845846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005906877,0.006460646,0.0003751763,0.6866686,0.1976081,0.0001290522,0.001540053,0.000125635,0.1011859],"genre_scores_gemma":[0.06892636,0.002893324,0.0003809653,0.1271803,0.02030004,0.00007925467,0.0004457916,0.0001531712,0.7796407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2060814,"threshold_uncertainty_score":0.4145902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354595846327795,"score_gpt":0.2342262367839555,"score_spread":0.2206802783206775,"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."}}