{"id":"W6976703038","doi":"10.6068/dp14ba84a1d2d80","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter II: Neoplasms (C00 to D48), age group and sex | Variable: 1 to 4 years, Malignant neoplasm of mouth, unspecified, Both sexes | 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":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population statistics; Population; Fertility; Demographic statistics; Socioeconomic status; Economic statistics; Demographic analysis","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000380581,0.0006049058,0.0007576259,0.00008063999,0.0001716321,0.0001245411,0.000764687,0.0003188152,0.003811731],"category_scores_gemma":[0.00002427867,0.0005968169,2.503625e-7,0.0001945797,0.0002712512,0.0002588186,0.0009357851,0.0003190724,0.00001191327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236647,"about_ca_system_score_gemma":0.0008700397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995579,"about_ca_topic_score_gemma":0.9989262,"domain_scores_codex":[0.9963962,0.000144225,0.0006034515,0.001273688,0.0008594187,0.0007230222],"domain_scores_gemma":[0.9972903,0.0002364207,0.0003809002,0.001332007,0.00001136204,0.0007490817],"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":[0.00008099571,0.00004125845,0.0008367011,0.000243122,0.00008026489,0.0002193101,0.00004787914,0.00001947804,0.000008979772,0.0001342939,0.9978877,0.0003999859],"study_design_scores_gemma":[0.0004882453,0.0001262893,0.0003032807,0.00003423724,0.0001762047,0.00008805959,0.0006644042,0.000233599,7.090136e-8,0.000001139231,0.9971869,0.0006975684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002986236,0.001750332,0.000004660457,0.000004641156,0.0001965783,0.0007280988,0.9961995,0.00003061317,0.0007868928],"genre_scores_gemma":[0.0001604143,0.001840165,0.0002635159,0.0003543551,0.00005540868,0.00001783173,0.9929919,0.0001242759,0.004192116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003799818,"threshold_uncertainty_score":0.9996483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759697841207414,"score_gpt":0.2179647972053467,"score_spread":0.2003678187932726,"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."}}