{"id":"W4403602179","doi":"10.61959/disx1332e","title":"A Snapshot of Grandparents in Canada (May 2019 Update)","year":2019,"lang":"en","type":"report","venue":"","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Grandparent; Geography; Genealogy; Computer science; History; Psychology; Database; Developmental psychology","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":[0.001025234,0.0008757072,0.0004789629,0.006672126,0.004339952,0.002635445,0.001542347,0.0007748123,0.04092601],"category_scores_gemma":[0.004075143,0.0005450997,0.0007358267,0.01542349,0.0004467231,0.001498843,0.002357997,0.001827838,0.007963272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02834831,"about_ca_system_score_gemma":0.09555886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925635,"about_ca_topic_score_gemma":0.9962251,"domain_scores_codex":[0.9985353,0.0000623047,0.00009718885,0.00009731787,0.000607912,0.0006000943],"domain_scores_gemma":[0.9928023,0.0001818854,0.000238041,0.0001099481,0.004998954,0.001668909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003360006,0.00001932941,0.01331605,0.000364724,0.00001676716,0.000130229,0.0007880586,0.00006635254,0.00005143499,0.0004025514,0.9443686,0.04044235],"study_design_scores_gemma":[0.00002434669,0.00001912223,0.1620251,0.001110729,0.00003779996,0.0002651542,0.004606684,0.00008230382,0.0001234324,0.0002316929,0.8314157,0.00005803944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02420072,0.0182212,0.0006795492,0.01532912,0.002309508,0.0003974294,0.8530545,0.001051883,0.08475611],"genre_scores_gemma":[0.1409605,0.05678611,0.005873322,0.01455806,0.001034213,0.001301607,0.5775828,0.0007075025,0.2011959],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04092601,"threshold_uncertainty_score":0.2056823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010199689816167,"score_gpt":0.3006736292217401,"score_spread":0.2805716323235785,"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."}}