{"id":"W6976914092","doi":"10.6068/dp14ba807c21186","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Morocco, Total, immigration status, Females, College | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-073.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Immigration; Citizenship; Official statistics; Socioeconomic status; Economic statistics; Statistical analysis","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":[0.002417013,0.002343118,0.002856379,0.009608966,0.003659634,0.005704806,0.005126832,0.001642892,0.09143144],"category_scores_gemma":[0.02155961,0.001906306,0.002356559,0.04575004,0.0006962712,0.002964266,0.002564957,0.003410264,0.05959301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05685171,"about_ca_system_score_gemma":0.1688769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947089,"about_ca_topic_score_gemma":0.9922388,"domain_scores_codex":[0.9950294,0.0003265336,0.000537943,0.0005939464,0.002296182,0.00121602],"domain_scores_gemma":[0.9589511,0.00151001,0.001208397,0.001183363,0.03503034,0.002116672],"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":[0.00002178017,0.000005847223,0.0008695333,0.0002263502,0.00001812407,0.000005599555,0.00002047388,0.00009567475,0.000008006143,0.0003500796,0.9968347,0.001543969],"study_design_scores_gemma":[0.0001376618,0.00001124704,0.02054816,0.0009047689,0.00006920564,0.0000260516,0.0004780692,0.0004539162,0.0001703238,0.0006252123,0.976485,0.00009039866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005101491,0.00005467941,0.00002738807,0.0001661501,0.00003702568,0.00001644384,0.9985369,0.00007453397,0.001035879],"genre_scores_gemma":[0.0009010772,0.0003680596,0.0004909455,0.000211256,0.00002462296,0.0001505306,0.9926955,0.000163219,0.004994824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09143144,"threshold_uncertainty_score":0.41249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204323496950639,"score_gpt":0.2545563056318436,"score_spread":0.2325130706623372,"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."}}