{"id":"W2274279789","doi":"10.14288/1.0103049","title":"First Nations and Metis People and Science Education","year":2013,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Political science; Geography; Computer science; World Wide Web","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":[0.002305678,0.0003511641,0.0003453742,0.0004482863,0.01083243,0.003306864,0.0005216987,0.004284152,0.03433999],"category_scores_gemma":[0.003702979,0.0002044802,0.0002106349,0.0005335685,0.001670712,0.00127666,0.002664501,0.005980333,0.002953787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006489991,"about_ca_system_score_gemma":0.02164197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.303613,"about_ca_topic_score_gemma":0.6473869,"domain_scores_codex":[0.9992386,0.0001200878,0.00002255142,0.00004206836,0.0001987937,0.0003778812],"domain_scores_gemma":[0.996487,0.0005878014,0.00008726928,0.00005452752,0.0005657482,0.002217576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001154563,0.0001155004,0.003133407,0.0001102464,0.000005626832,0.0002150397,0.007703649,0.0000431466,0.000442334,0.02557059,0.9418102,0.02073484],"study_design_scores_gemma":[0.0000183024,0.00003082146,0.01855827,0.0001232848,0.000004125946,0.00003352627,0.009039998,0.00003327586,0.0002250663,0.0006837049,0.9712368,0.00001281293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02335986,0.01688942,0.0001526993,0.7501826,0.02450753,0.00008464706,0.0008235274,0.00005469589,0.183945],"genre_scores_gemma":[0.08260698,0.005099466,0.0002575569,0.0423189,0.00244353,0.00009444153,0.0002794887,0.00003706872,0.8668625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6963869,"threshold_uncertainty_score":0.6036916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068393875288702,"score_gpt":0.2424744920332083,"score_spread":0.2317905532803212,"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."}}