{"id":"W6920306237","doi":"10.6068/dp14ba83f2bd051","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Table: Family characteristics, persons receiving Employment Insurance, by sex and age group | Variable: 50 to 54 years, Males | 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; Economic statistics; Population; Official statistics; Socioeconomic status; Summary statistics; Government (linguistics); Social statistics; Population 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":[0.002412265,0.002483089,0.002962222,0.00813571,0.003162754,0.004952745,0.005419079,0.001645672,0.1018597],"category_scores_gemma":[0.01985172,0.001998826,0.002374749,0.0364635,0.0006223992,0.002529297,0.002417809,0.003364973,0.05635215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05345315,"about_ca_system_score_gemma":0.1392763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941064,"about_ca_topic_score_gemma":0.9921072,"domain_scores_codex":[0.9955407,0.0003206471,0.000515051,0.0005638069,0.00205021,0.00100961],"domain_scores_gemma":[0.9661961,0.001383591,0.001136753,0.001056037,0.02849591,0.001731661],"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":[0.00002897103,0.000007218823,0.0009430545,0.0002733536,0.00002318558,0.000007019526,0.00002091976,0.000110412,0.000009215553,0.0003417608,0.9965745,0.001660358],"study_design_scores_gemma":[0.0002209326,0.00001610187,0.02629126,0.001131017,0.00008743193,0.00003198599,0.0004567057,0.0005754302,0.000194705,0.0007765545,0.9701121,0.000105731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004771156,0.00005054314,0.00002353017,0.0001307272,0.00002633257,0.00001550728,0.9988245,0.00006179218,0.0008192371],"genre_scores_gemma":[0.0008088918,0.0003025815,0.0004298621,0.0001879967,0.00001915146,0.0001466858,0.9935911,0.0001359755,0.004377916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1018597,"threshold_uncertainty_score":0.3878316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283274235019259,"score_gpt":0.2414815598203938,"score_spread":0.2186488174702012,"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."}}