{"id":"W6950669748","doi":"10.5683/sp3/dszvjs","title":"Employment Insurance Coverage Survey, 2018 [Canada]","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Survey of Income and Program Participation; Survey data collection; Current Population Survey; Job loss; Household income; Recall","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298227,0.0006877807,0.0008425287,0.003796251,0.001928614,0.002082831,0.002267324,0.0007641292,0.0376948],"category_scores_gemma":[0.006803229,0.0006264434,0.0008558489,0.01222158,0.0002869586,0.001288811,0.001024382,0.001625099,0.01368222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01950851,"about_ca_system_score_gemma":0.04238462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9561881,"about_ca_topic_score_gemma":0.9731492,"domain_scores_codex":[0.9979869,0.0001119367,0.0002330068,0.0002192337,0.001087605,0.0003612158],"domain_scores_gemma":[0.9906061,0.0002400285,0.0004943978,0.0001468428,0.007745696,0.0007668327],"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":[0.00009470285,0.00007045986,0.02765137,0.0004618694,0.00003320166,0.00002931741,0.0001085075,0.0001830164,0.00005962243,0.0007920463,0.9606928,0.009823265],"study_design_scores_gemma":[0.0001438102,0.00004771669,0.5781137,0.0006476792,0.00004777716,0.0000562343,0.0007186679,0.0006359259,0.0001242549,0.0003301842,0.4190884,0.0000456545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002086021,0.0002676275,0.00009295037,0.0004436561,0.00008247875,0.0003229799,0.981837,0.00007415627,0.01479318],"genre_scores_gemma":[0.01625671,0.001378846,0.001102948,0.001083307,0.00006484819,0.001231909,0.9461507,0.00007304204,0.03265771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04381186,"threshold_uncertainty_score":0.1415448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320093231305015,"score_gpt":0.2210880218112334,"score_spread":0.1978870894981833,"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."}}