{"id":"W6976356762","doi":"10.6068/dp14baa3e2c7582","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Province: Nova Scotia | Table: Family characteristics, persons receiving Employment Insurance, by sex and age group | Variable: 15 to 19 years, Both sexes | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-137.","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; Nova scotia; Official statistics; Population; Economic statistics; Summary statistics; Government (linguistics); Population statistics; Social statistics; 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":[0.002378093,0.002416174,0.002909776,0.007964255,0.003074632,0.004865905,0.005263598,0.001643815,0.1032599],"category_scores_gemma":[0.02117649,0.002081618,0.002282185,0.03590729,0.0006007353,0.002402586,0.002485461,0.003143903,0.05999272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04724221,"about_ca_system_score_gemma":0.126319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929978,"about_ca_topic_score_gemma":0.9908173,"domain_scores_codex":[0.9958392,0.0003090957,0.0005328891,0.0005714613,0.001774551,0.0009728118],"domain_scores_gemma":[0.9688584,0.001506842,0.001144662,0.001152096,0.02568005,0.001657937],"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":[0.00002897453,0.000005854386,0.0009202801,0.000292194,0.00002294013,0.00000736138,0.00002313473,0.000113862,0.000009518424,0.0003300818,0.9967889,0.001456948],"study_design_scores_gemma":[0.0002354963,0.00001446996,0.02495764,0.001175844,0.00008611521,0.00003027279,0.000441556,0.0005061332,0.0001843909,0.000746652,0.9715198,0.0001016137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000392861,0.00004058732,0.00001979308,0.00009995299,0.00002326601,0.00001307579,0.9990498,0.00005063386,0.00066362],"genre_scores_gemma":[0.0007028998,0.0002416877,0.0003690348,0.0001435425,0.00001617634,0.000138721,0.9946515,0.0001233976,0.003613078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1032599,"threshold_uncertainty_score":0.3454388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120123932465609,"score_gpt":0.2428542374906531,"score_spread":0.221652998165997,"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."}}