{"id":"W6920357178","doi":"10.6068/dp14baa306a1231","title":"Most Recent Data (1996). Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Visible Minorities | Country: Canada | Province: New Brunswick | Table: Visible minorities as a proportion of total population | Variable: Visible minorities as a proportion of total population | Units: %, 1996. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-095.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Immigration; Ethnic group; Socioeconomic status; Official statistics; Population statistics; Social 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":[0.002711423,0.002434001,0.0026903,0.008452998,0.004296649,0.005464875,0.005567525,0.001571243,0.1245736],"category_scores_gemma":[0.02185962,0.001925149,0.002166582,0.0448778,0.0007792201,0.002771162,0.002486355,0.003366668,0.07513441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06943601,"about_ca_system_score_gemma":0.165823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956513,"about_ca_topic_score_gemma":0.9935749,"domain_scores_codex":[0.9948398,0.0003020277,0.0005575473,0.0005854759,0.002514201,0.001200908],"domain_scores_gemma":[0.9557319,0.001554302,0.001064529,0.001248389,0.03833112,0.002069724],"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":[0.00002052073,0.000006432207,0.000836388,0.0002132032,0.00001364751,0.00000582558,0.00002457207,0.00008460094,0.000009182079,0.0003022537,0.9969789,0.001504482],"study_design_scores_gemma":[0.0001546867,0.00001029916,0.02302157,0.0007388557,0.00005452889,0.00002131805,0.0005349591,0.0002650724,0.0001615496,0.0005405913,0.9744125,0.00008412176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004692014,0.00004274234,0.00001757369,0.0001209567,0.00002673039,0.0000163447,0.99861,0.00004929439,0.001069275],"genre_scores_gemma":[0.000846317,0.0002989231,0.0004140206,0.0001781063,0.00001959644,0.0001691648,0.9921327,0.0001363887,0.005804707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1245736,"threshold_uncertainty_score":0.5037959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970155600627905,"score_gpt":0.2603021093536423,"score_spread":0.2306005533473633,"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."}}