{"id":"W4403118904","doi":"10.3138/chr.105.3.br15","title":"<i>Honoré Jaxon: Prairie Visionary</i> and “Episode 11: Will Jackson, Later Honoré Jaxon” from <i>In Hindsight: Half a Century of Research Discoveries in Canadian History</i>. Donald B. Smith","year":2024,"lang":"en","type":"article","venue":"Canadian Historical Review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Honor; Hindsight bias; History; Classics; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003068056,0.0007321126,0.0006178071,0.001720113,0.01049564,0.006266843,0.0017923,0.003613173,0.01628525],"category_scores_gemma":[0.01024644,0.000427023,0.0004075661,0.002970898,0.005774193,0.005027948,0.002227584,0.007786171,0.002991871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02762307,"about_ca_system_score_gemma":0.05723864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8798155,"about_ca_topic_score_gemma":0.956218,"domain_scores_codex":[0.9977078,0.0003860343,0.00008660706,0.0002383925,0.001151998,0.0004290705],"domain_scores_gemma":[0.9943827,0.0007651689,0.0002501418,0.0001434483,0.003424151,0.001034387],"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":[0.000008039145,0.000001250851,0.0001315764,0.00009390215,0.000003741731,0.00002938248,0.0005615895,0.000005844905,0.00002082652,0.005390038,0.9866112,0.007142561],"study_design_scores_gemma":[0.000002267672,0.000001473645,0.0006504467,0.0004035883,0.00000535237,0.00005412987,0.001298727,0.000004922686,0.00003215934,0.0009108566,0.9966267,0.000009392125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0005087035,0.3561681,0.0002150857,0.5655662,0.04130533,0.00001628995,0.0003174891,0.00004601674,0.03585679],"genre_scores_gemma":[0.032749,0.3677805,0.00117104,0.3325275,0.02100391,0.00006985932,0.0005859925,0.000244095,0.2438681],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1201845,"threshold_uncertainty_score":0.2417845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697322505230665,"score_gpt":0.2825527799269634,"score_spread":0.2555795548746568,"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."}}