{"id":"W6976823803","doi":"10.6068/dp14ba8823f5077","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Morocco, Total, immigration status, Females, Total, institution type | Units: #, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Citizenship; Population; Statistics education; Socioeconomic status; Ethnic group; Official statistics","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":[0.002500092,0.00235831,0.002785956,0.008010796,0.003258445,0.00502813,0.00545478,0.001560093,0.08640005],"category_scores_gemma":[0.02096297,0.001827592,0.002310228,0.03847621,0.0006531292,0.00276348,0.002511829,0.003220711,0.05319411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04443989,"about_ca_system_score_gemma":0.125298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916117,"about_ca_topic_score_gemma":0.9884186,"domain_scores_codex":[0.9954627,0.000331234,0.0005259291,0.0005896899,0.002044502,0.001045916],"domain_scores_gemma":[0.9625475,0.001468552,0.001195483,0.00126934,0.031778,0.001741072],"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":[0.00002586541,0.000007024644,0.00113953,0.0002286071,0.00002267551,0.000006101022,0.00001990858,0.0001038844,0.000009131046,0.000326819,0.9966232,0.001487402],"study_design_scores_gemma":[0.0001887727,0.00001356893,0.02500652,0.001064084,0.00008228971,0.00002806506,0.0004853093,0.000505052,0.0001985085,0.0007585667,0.9715713,0.00009801162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004811159,0.00003805733,0.00002307321,0.0001181641,0.00002778601,0.00001445065,0.9989826,0.00005487692,0.0006927593],"genre_scores_gemma":[0.0006602714,0.0002328339,0.0003715687,0.0001549146,0.00001819497,0.0001310645,0.9950861,0.000112058,0.003233083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08640005,"threshold_uncertainty_score":0.3224354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848795804273083,"score_gpt":0.2505915628370758,"score_spread":0.222103604794345,"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."}}