{"id":"W2071695165","doi":"10.1353/can.2012.0010","title":"Chance, Bias, and Omissions: The Great Land Rush","year":2012,"lang":"en","type":"article","venue":"Canadian Historical Review","topic":"Diverse Education and Engineering Focus","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medal; Publishing; History; Queen (butterfly); Art history; Gold rush; Media studies; Law; Archaeology; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.1770695,0.0006668777,0.001961803,0.005077505,0.008575682,0.01231412,0.002603544,0.003956011,0.004516175],"category_scores_gemma":[0.4260887,0.0009020786,0.001010487,0.01147814,0.0286602,0.01116706,0.01025713,0.003657708,0.0008476243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00873805,"about_ca_system_score_gemma":0.01139076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053224,"about_ca_topic_score_gemma":0.03111151,"domain_scores_codex":[0.6850887,0.2425306,0.01094365,0.01739571,0.04004271,0.00399861],"domain_scores_gemma":[0.4466586,0.4655574,0.04478228,0.02235714,0.01670531,0.003939357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004660522,0.00005172355,0.1011031,0.003818518,0.001003402,0.002143275,0.246284,0.0005266417,0.0002309037,0.2624124,0.1518386,0.2301214],"study_design_scores_gemma":[0.0001587173,0.0001420968,0.06469255,0.01137882,0.0006712176,0.002193007,0.1278382,0.002079657,0.001128137,0.4509466,0.3384095,0.000361553],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.183188,0.1500363,0.04559765,0.5097044,0.02687297,0.0004131563,0.001369761,0.0004774485,0.08234045],"genre_scores_gemma":[0.9091919,0.0172746,0.0108042,0.04396227,0.007837439,0.0004477534,0.0003173355,0.0004132513,0.009751301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9794677,"threshold_uncertainty_score":0.936444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07635181809259213,"score_gpt":0.2940909161710425,"score_spread":0.2177390980784504,"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."}}