{"id":"W6958078570","doi":"10.6068/dp14ba7c0e21386","title":"Trend 1996 - 2002. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Population (2001 Census and administrative data), by age group and sex | Variable: 1 to 4 years, Both sexes | Units: # Persons, 1996-2002. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Population statistics; Residence; Socioeconomic status; Economic statistics; Projections of population growth; Demographic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004241183,0.0004266691,0.0004655972,0.0001031081,0.0001873715,0.0002737054,0.0004690814,0.0003980121,0.0000844757],"category_scores_gemma":[0.0001483652,0.0004119262,1.882333e-7,0.0001909455,0.0001982056,0.00004994427,0.0005771469,0.0002876767,3.805509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005398807,"about_ca_system_score_gemma":0.001069828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972761,"about_ca_topic_score_gemma":0.9947811,"domain_scores_codex":[0.997329,0.0001587867,0.0005121281,0.0009130645,0.0005773362,0.0005097085],"domain_scores_gemma":[0.9979532,0.0001394672,0.0002829991,0.001018446,0.00002307951,0.0005827945],"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":[0.00005379099,0.00003160247,0.001107446,0.0003613935,0.0001436906,0.00003107483,0.000003468462,0.000001414788,0.00001962951,0.00002401249,0.9972726,0.0009499509],"study_design_scores_gemma":[0.0004568424,0.0001933864,0.0005631077,0.00003046557,0.0002041706,0.00008954401,0.0001998563,0.004270335,6.252699e-8,4.592994e-7,0.9935105,0.0004812038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004111568,0.003407257,0.00003033437,0.000003646785,0.0001571007,0.0006231684,0.995546,0.0000183449,0.0001730527],"genre_scores_gemma":[0.0002919055,0.002151469,0.001749442,0.0001171958,0.0001368879,0.00001061619,0.9946122,0.00007367617,0.0008566153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004268921,"threshold_uncertainty_score":0.9998333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929415013274137,"score_gpt":0.284215304980404,"score_spread":0.2549211548476626,"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."}}