{"id":"W4300776707","doi":"10.1163/2468-1733_shafr_sim080210007","title":"For Better or For Worse: Canada and the United States to 1990s","year":2017,"lang":"en","type":"dataset","venue":"The SHAFR Guide Online","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Genealogy; Demography; History; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009329031,0.0001843116,0.0002908127,0.00004272821,0.001241528,0.000162401,0.001181692,0.0001089996,0.00008337397],"category_scores_gemma":[0.002930017,0.00009927867,0.0000680993,0.000120002,0.0004359902,0.00003838367,0.0001029558,0.0001668252,0.000003918254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802953,"about_ca_system_score_gemma":0.001758201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974778,"about_ca_topic_score_gemma":0.9998543,"domain_scores_codex":[0.9987103,0.0000987044,0.0002421254,0.0002247942,0.0002562778,0.0004678458],"domain_scores_gemma":[0.9973629,0.001463317,0.0002530183,0.0006252883,0.0001193547,0.0001761523],"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":[0.0001617909,0.000005010123,7.809869e-7,0.00002884799,0.00004050018,0.000002327821,0.0004105266,0.000006061771,4.499945e-8,0.0003607012,0.9982389,0.0007445383],"study_design_scores_gemma":[0.00056911,0.00002518058,0.00003415954,0.00005965627,0.00008677188,0.000001077974,0.000212753,0.00004038696,3.414018e-7,0.001036679,0.9977631,0.0001707936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001831491,0.00009044644,0.000008459821,0.2126503,0.0002734279,0.0009610825,0.785797,0.000004913479,0.00003124396],"genre_scores_gemma":[0.000008021453,0.0005173396,0.0002218943,0.08669167,0.002552264,0.0001911934,0.8492419,0.00002125962,0.06055443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1259586,"threshold_uncertainty_score":0.9548954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780983759727407,"score_gpt":0.3724676369546221,"score_spread":0.3346577993573481,"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."}}