{"id":"W6920337798","doi":"10.6068/dp14ba84309bf17","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XVII: Congenital malformations, deformations and chromosomal abnormalities (Q00 to Q99), age group and sex | Variable: 1 to 4 years, Other congenital malformations of limb(s), Females | Units: #, 2000-2011. 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; Fertility; Demographic statistics; Economic statistics; Birth rate; Socioeconomic status; Infant mortality","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":[0.002068246,0.002216008,0.002482347,0.006632355,0.003057463,0.004115642,0.00470133,0.001393358,0.09608538],"category_scores_gemma":[0.01600589,0.00161962,0.002079013,0.0298542,0.0005444242,0.001952007,0.002347696,0.002937115,0.04696715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04478145,"about_ca_system_score_gemma":0.1135315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941702,"about_ca_topic_score_gemma":0.9928598,"domain_scores_codex":[0.9972031,0.0002176287,0.0003586455,0.0003777637,0.001193644,0.0006492684],"domain_scores_gemma":[0.97553,0.0008970283,0.0006545149,0.000738465,0.02093693,0.001243119],"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":[0.00002508174,0.000006012617,0.001142378,0.0002837295,0.00002354774,0.000007723816,0.0000297442,0.0001342345,0.000009660046,0.000371432,0.9956417,0.00232466],"study_design_scores_gemma":[0.0002406562,0.00001560692,0.02994769,0.001230744,0.0000895699,0.00004428648,0.0005807064,0.0007855425,0.0001901381,0.0009416331,0.9658162,0.0001171885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006228578,0.00005680647,0.00003738564,0.0001391068,0.00003384324,0.00002156443,0.9986272,0.00007471764,0.0009471849],"genre_scores_gemma":[0.001140646,0.000370043,0.0006458708,0.0002171346,0.00002114268,0.0002053502,0.9932666,0.000128834,0.004004464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09608538,"threshold_uncertainty_score":0.3249137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235039476085717,"score_gpt":0.2335424286583793,"score_spread":0.2111920338975221,"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."}}