{"id":"W4388665880","doi":"10.54056/mjcz8973","title":"Outside Looking In: Inspiring Indigenous Youth with Innovative Programming","year":2023,"lang":"en","type":"article","venue":"Journal of Aboriginal Economic Development","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Sociology; Ecology; Biology","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":[0.002551013,0.000624364,0.0003313813,0.0007150089,0.007263751,0.004652912,0.001441611,0.001391748,0.01223508],"category_scores_gemma":[0.0035169,0.0003265061,0.0006476124,0.0003576463,0.002833056,0.003096458,0.006655063,0.004100646,0.002690049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504388,"about_ca_system_score_gemma":0.005199592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00467216,"about_ca_topic_score_gemma":0.02786968,"domain_scores_codex":[0.9987483,0.0005523725,0.00001769825,0.00007750534,0.0002219556,0.000382133],"domain_scores_gemma":[0.9966769,0.0003411979,0.0000971601,0.00007870464,0.0001888442,0.002617233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001523059,0.002675001,0.009297078,0.000665169,0.00004051393,0.003202223,0.6638594,0.000135857,0.005482068,0.008143282,0.1089315,0.1974156],"study_design_scores_gemma":[0.00006511322,0.0005885831,0.008275629,0.0007425841,0.00007079131,0.002457827,0.5211568,0.0003365444,0.001819365,0.007471058,0.4569415,0.00007428799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169294,0.005656227,0.01043579,0.05524048,0.005189668,0.0008557994,0.0001430015,0.001028396,0.2045212],"genre_scores_gemma":[0.7696558,0.008644151,0.03635781,0.01509424,0.001199836,0.001050646,0.0002300844,0.0006034852,0.167164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9953278,"threshold_uncertainty_score":0.04093039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043662317951224,"score_gpt":0.2930625737640038,"score_spread":0.2626259505844916,"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."}}