{"id":"W7024075729","doi":"","title":"The province of Ontario as it is, containing manufacturing, commercial, statistical and other valuable information.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Population; Identification (biology); Work (physics); Government (linguistics)","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":[0.0005921414,0.0005931338,0.0005936801,0.003591199,0.006274636,0.005842849,0.0008171292,0.0008121255,0.1032521],"category_scores_gemma":[0.003852592,0.0005309248,0.0003517072,0.01504267,0.001127288,0.001550315,0.00123235,0.0006494088,0.01300968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04262752,"about_ca_system_score_gemma":0.1479128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929709,"about_ca_topic_score_gemma":0.9979733,"domain_scores_codex":[0.9986666,0.00006678571,0.00005949563,0.0001155134,0.0008130712,0.0002783792],"domain_scores_gemma":[0.9951833,0.0003306513,0.0002985659,0.0001859231,0.003169373,0.0008321869],"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":[0.00006256857,0.00001224635,0.008996395,0.000958634,0.00002498957,0.0003196971,0.002526204,0.0001740615,0.0005430485,0.01095311,0.9078585,0.06757052],"study_design_scores_gemma":[0.000006788664,0.000006036765,0.02827627,0.0002430086,0.00001468497,0.00008912232,0.001944314,0.000124107,0.0001619764,0.0005097768,0.9685982,0.00002573721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0207559,0.01324653,0.002929248,0.02071168,0.001650721,0.0003884427,0.2711057,0.001570735,0.6676409],"genre_scores_gemma":[0.1099575,0.01364666,0.00651347,0.00215173,0.0001818989,0.0001441896,0.04025207,0.000644625,0.8265079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1032521,"threshold_uncertainty_score":0.3454126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006358269119279432,"score_gpt":0.188840578511279,"score_spread":0.1824823093919996,"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."}}