{"id":"W6976820743","doi":"10.6068/dp14baa2bcdf472","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Province: Manitoba | Table: Estimates of deaths, by sex and age group | Variable: -1 to 14 years, Both sexes | Units: #, 1972-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-159.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population statistics; Population; Demographic statistics; Fertility; Socioeconomic status; Economic statistics; Demographic analysis; Summary statistics","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":[0.002234716,0.002185995,0.002580267,0.007278317,0.003367998,0.004563995,0.004842815,0.001325571,0.1021204],"category_scores_gemma":[0.0167069,0.001774841,0.002075535,0.03482206,0.0006051403,0.002210699,0.002339122,0.003178844,0.05514502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05590563,"about_ca_system_score_gemma":0.1463319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954128,"about_ca_topic_score_gemma":0.9937134,"domain_scores_codex":[0.9964851,0.0002652991,0.0004171051,0.0004305126,0.001586596,0.0008154784],"domain_scores_gemma":[0.9715776,0.000902466,0.0006965265,0.0008023898,0.02448937,0.001531672],"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":[0.00002368236,0.000006572748,0.001043057,0.0002660606,0.00002187724,0.000007480759,0.00002867561,0.0001219724,0.00001088427,0.0004362192,0.9955056,0.002527879],"study_design_scores_gemma":[0.0001844572,0.00001481371,0.02707367,0.0009867679,0.00007617279,0.00003831122,0.0005438171,0.000587847,0.0001893952,0.0008576341,0.9693476,0.00009961826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006841363,0.0000827154,0.0000526794,0.0001744543,0.00005310046,0.00003238101,0.9978393,0.00009749027,0.001599426],"genre_scores_gemma":[0.001526769,0.000575277,0.0009407753,0.0002818026,0.00003270418,0.0002541352,0.9888372,0.0002050441,0.007346298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1021204,"threshold_uncertainty_score":0.4056256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604025311967172,"score_gpt":0.2338423619465534,"score_spread":0.2178021088268817,"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."}}