{"id":"W2609438502","doi":"","title":"Data Planet LibGuides: Canada: Guide to Statistics: Exploring Statistics Canada Data in Data Planet Statistical Datasets","year":2014,"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":"Planet; Statistics; Data science; Summary statistics; Computer science; Geography; 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":[],"category_scores_codex":[0.002093038,0.00104329,0.001589074,0.000258769,0.0002324569,0.0002967518,0.008092483,0.0003357288,0.002969404],"category_scores_gemma":[0.008224133,0.001048195,0.000003790866,0.000228761,0.0000805298,0.0007561613,0.006195156,0.001048721,0.00007159166],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008337835,"about_ca_system_score_gemma":0.01073135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983801,"about_ca_topic_score_gemma":0.9999499,"domain_scores_codex":[0.9903945,0.0004001649,0.003106739,0.002450517,0.002393372,0.001254741],"domain_scores_gemma":[0.977739,0.007554466,0.0008708172,0.01297027,0.0001001208,0.0007653484],"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":[0.00003857655,0.00005422065,0.0001608043,0.001080585,0.0001311193,0.0005855004,0.00001549725,0.0002572244,1.480729e-7,0.01045557,0.981909,0.005311694],"study_design_scores_gemma":[0.0004761309,0.00003186494,0.0004756179,0.0002085947,0.0002868487,0.000044048,0.00009438197,0.08735157,1.930482e-7,0.0006166295,0.9092859,0.001128196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000337151,0.0001040476,0.09873339,0.0004216613,0.002279178,0.0009201778,0.8966012,0.00009043414,0.0008465369],"genre_scores_gemma":[0.00002110192,0.0001716234,0.2976759,0.001107211,0.0007908109,0.00002114143,0.6991391,0.0001649419,0.0009081642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1989425,"threshold_uncertainty_score":0.9991968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.170438913206154,"score_gpt":0.3614250184210522,"score_spread":0.1909861052148982,"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."}}