{"id":"W2994936910","doi":"","title":"Data Planet LibGuides: Statistics Canada StatCan Database: Exploring Statistics Canada Data in Data Planet Statistical Datasets","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistics; Planet; Summary statistics; Computer science; Mathematics","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","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001901231,0.001298405,0.001814978,0.0002697482,0.0002542889,0.0003899818,0.009160087,0.0003450214,0.00574729],"category_scores_gemma":[0.004560681,0.001319239,0.000004341171,0.0002694351,0.0001584419,0.001791001,0.007522552,0.001745648,0.00005924623],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000908569,"about_ca_system_score_gemma":0.02059207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981065,"about_ca_topic_score_gemma":0.9999447,"domain_scores_codex":[0.9888076,0.0004862359,0.00318174,0.00291372,0.003095803,0.001514926],"domain_scores_gemma":[0.9722446,0.008830827,0.001323035,0.01683727,0.0001150902,0.000649227],"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":[0.00005856147,0.0001040458,0.0002843569,0.002486493,0.0002239639,0.001086267,0.00002938012,0.0001583585,2.099914e-7,0.01163425,0.9809414,0.002992731],"study_design_scores_gemma":[0.0007367802,0.00003082177,0.0002518872,0.0002692877,0.0004259507,0.00005030848,0.0002819436,0.1117799,2.10434e-7,0.000402155,0.8843952,0.001375581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006795462,0.0002834525,0.02554896,0.0002391494,0.004363863,0.001258193,0.9676402,0.0001030824,0.0005562926],"genre_scores_gemma":[0.00003890469,0.0007777784,0.1730535,0.0006374168,0.0007782335,0.00001852417,0.8232905,0.0002543471,0.001150815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1475045,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945720141105998,"score_gpt":0.3536013032503284,"score_spread":0.1590292891397286,"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."}}