{"id":"W6901634125","doi":"10.6068/dp14ba7b8aeb132","title":"Trend 2002 - 2007. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Infant and perinatal mortality, by sex, three-year average | Variable: Infant mortality, Both sexes | Units: #, 2002-2007. 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":"Population statistics; Census; Infant mortality; Population; Demographic statistics; Economic statistics; Fertility; Socioeconomic status","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":[0.002157271,0.002168332,0.002457971,0.00705757,0.003094951,0.004415451,0.004599593,0.001285832,0.09158371],"category_scores_gemma":[0.01538358,0.001672015,0.002064627,0.03258269,0.0005856786,0.002082756,0.002288547,0.003141523,0.04917244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05442112,"about_ca_system_score_gemma":0.1426264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99522,"about_ca_topic_score_gemma":0.9935633,"domain_scores_codex":[0.9966359,0.0002752193,0.0003872562,0.0004044981,0.001508068,0.0007891289],"domain_scores_gemma":[0.9723281,0.000819567,0.0006676084,0.0007499329,0.02397769,0.001456997],"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":[0.00002536543,0.000006227411,0.001054329,0.0002586913,0.00002243803,0.000007752385,0.00002746287,0.0001195931,0.00001031806,0.0004307234,0.995478,0.002559099],"study_design_scores_gemma":[0.00018173,0.00001535412,0.02828881,0.001021955,0.00008368844,0.00004190634,0.0005331707,0.0006699411,0.0001809835,0.0008324959,0.9680517,0.00009844708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007310112,0.0000894886,0.00005332796,0.0001983314,0.00005087128,0.0000308766,0.9978628,0.0001004039,0.001540935],"genre_scores_gemma":[0.001498827,0.0005681536,0.0009082793,0.0002936787,0.00002975671,0.0002365083,0.9902036,0.0001837377,0.006077442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09158371,"threshold_uncertainty_score":0.3948548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051202622568857,"score_gpt":0.2518389031358243,"score_spread":0.2313268769101357,"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."}}