{"id":"W6939066737","doi":"10.6068/dp14ba8df38f856","title":"Trend 1972 - 1984. Statistics Canada. CANSIM: Labor - Employment Insurance, Social Assistance and Other Transfers | Country: Canada | Table: Employment Insurance Program (E.I.), by type of benefit period and sex | Variable: Retirement, Benefit periods terminated showing average number of weeks, Both sexes | Units: , 1972-1984. 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; Social insurance; Government (linguistics); Social security; Social statistics; Socioeconomic status; Population 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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0008230216,0.001599782,0.002486942,0.0001627117,0.0003442998,0.0003704201,0.001992393,0.0007218682,0.001854111],"category_scores_gemma":[0.00005640821,0.001643941,8.340164e-7,0.0009641517,0.0008914444,0.0004233785,0.0005401628,0.0009831942,0.000006142047],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006271448,"about_ca_system_score_gemma":0.008815588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982051,"about_ca_topic_score_gemma":0.9967592,"domain_scores_codex":[0.9915983,0.000477985,0.001943065,0.002132517,0.002396161,0.001451941],"domain_scores_gemma":[0.9947339,0.0003497827,0.001439931,0.00253271,0.0001969976,0.0007467004],"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":[0.0005723159,0.0004279095,0.005982408,0.002016692,0.001205124,0.0002616018,0.0000455054,0.00001663775,0.00006544228,0.0002670623,0.9884164,0.0007228462],"study_design_scores_gemma":[0.002656697,0.0003480064,0.0003630397,0.0002909813,0.0006417981,0.00009373901,0.0002857979,0.0003666217,6.996488e-7,2.855181e-7,0.9932892,0.001663125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003468771,0.003352161,0.00000188594,0.000002921645,0.0004379677,0.001786161,0.992295,0.0001520877,0.001624936],"genre_scores_gemma":[0.001570723,0.0008947803,0.0003089499,0.0001721396,0.0001264382,0.00009146448,0.9926021,0.0007805963,0.003452838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008188443,"threshold_uncertainty_score":0.999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570077720633489,"score_gpt":0.2741748782472944,"score_spread":0.2484741010409595,"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."}}