{"id":"W7068034086","doi":"","title":"National data sets : sources of information for Canadian child care data","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Child care; Data collection; Information system; Data quality; Government (linguistics)","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":[0.003253571,0.002208312,0.001314832,0.02182306,0.003618356,0.00450386,0.003998128,0.001208191,0.06209259],"category_scores_gemma":[0.03044214,0.001874464,0.001495081,0.06397056,0.0005389605,0.00153789,0.002238677,0.001815606,0.02087737],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04832628,"about_ca_system_score_gemma":0.1475569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918588,"about_ca_topic_score_gemma":0.9931816,"domain_scores_codex":[0.9947567,0.0003483366,0.0006143876,0.0003095923,0.002926224,0.00104482],"domain_scores_gemma":[0.9738874,0.001773798,0.001440025,0.001350454,0.01988047,0.001667839],"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":[0.00006121738,0.00002362509,0.00572129,0.0006461433,0.00004731189,0.00003921231,0.0002005126,0.0005162607,0.00006472827,0.002434528,0.9764448,0.01380044],"study_design_scores_gemma":[0.0001030886,0.00001181279,0.09479962,0.0008957269,0.00009448081,0.00007382387,0.0006153489,0.0009698704,0.0005891696,0.001185167,0.9005301,0.0001317785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004354987,0.0001454233,0.0001669932,0.0001634989,0.00002142693,0.00008876889,0.9929102,0.0001569135,0.005911133],"genre_scores_gemma":[0.003955887,0.0006963636,0.00276826,0.0001132057,0.00001335552,0.000345994,0.9834608,0.0002221023,0.008424091],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9516737,"threshold_uncertainty_score":0.3506333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130152268744576,"score_gpt":0.2155731693874622,"score_spread":0.2025579425130045,"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."}}