{"id":"W6957537995","doi":"10.6068/dp14baa3e026965","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Province: Nunavut | 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; Official statistics; Social statistics; Population; Economic statistics; Government (linguistics); Socioeconomic status; Population statistics; Summary statistics; Social security","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":[0.002481824,0.002542604,0.003025922,0.008450883,0.003311527,0.005150783,0.005618816,0.001707754,0.1051871],"category_scores_gemma":[0.02192209,0.002078398,0.002371241,0.03898073,0.0006187308,0.002668946,0.002554837,0.003258806,0.06069955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04811187,"about_ca_system_score_gemma":0.1264858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993077,"about_ca_topic_score_gemma":0.9908234,"domain_scores_codex":[0.9955526,0.0003291155,0.0005539485,0.0006004052,0.001934987,0.001028901],"domain_scores_gemma":[0.9673127,0.001509899,0.001103837,0.00116893,0.02726525,0.001639457],"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":[0.00002654684,0.000006199164,0.0008293381,0.000273195,0.0000212907,0.000006644506,0.00002155168,0.0001041639,0.000008852699,0.0003422194,0.9968677,0.001492247],"study_design_scores_gemma":[0.0002158315,0.00001388536,0.02200971,0.001111788,0.00008054512,0.00002876453,0.0004486458,0.0004938685,0.0001785188,0.0007948101,0.9745219,0.0001015817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003625259,0.00004020826,0.00002056433,0.00009945633,0.00002252443,0.00001364499,0.9990267,0.00005426259,0.0006864149],"genre_scores_gemma":[0.0006177219,0.0002440828,0.0003743881,0.0001430485,0.00001580502,0.0001416911,0.9949667,0.000121507,0.003375144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1051871,"threshold_uncertainty_score":0.3518859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933548342004956,"score_gpt":0.239272631521441,"score_spread":0.2199371481013914,"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."}}