{"id":"W4251070710","doi":"10.1037/e516652013-131","title":"Lessons from Canada: Negotiating the Space for Culturally-Based Services to Strengthen Aboriginal Families","year":2010,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Negotiation; Space (punctuation); Sociology; Gender studies; Computer science; Social science","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":[0.00538373,0.0009232017,0.001152968,0.004499375,0.002978766,0.005320271,0.00338978,0.001667039,0.01539573],"category_scores_gemma":[0.02514293,0.0006656278,0.001495425,0.01758914,0.0008468901,0.002004031,0.003784643,0.003941554,0.002647704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04924537,"about_ca_system_score_gemma":0.1225201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885932,"about_ca_topic_score_gemma":0.994074,"domain_scores_codex":[0.997012,0.0007587199,0.0003085085,0.0002468571,0.0009458077,0.0007280225],"domain_scores_gemma":[0.9849841,0.003524533,0.0008552643,0.001383613,0.006961218,0.002291269],"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":[0.0001193608,0.00001840086,0.004566787,0.0007094675,0.00009175439,0.00003935998,0.0003488791,0.0005317442,0.00002087273,0.004020942,0.9809625,0.008570033],"study_design_scores_gemma":[0.000576615,0.00001823525,0.05798639,0.004156671,0.0002587174,0.00005721017,0.003705018,0.00174457,0.0002588,0.005485474,0.9256298,0.0001224682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002300207,0.00108415,0.0002160129,0.007696496,0.0001219086,0.0000811897,0.9843857,0.0001255742,0.00398872],"genre_scores_gemma":[0.03647295,0.004137086,0.005286462,0.00274132,0.00009153282,0.001217071,0.9420076,0.0002332436,0.007812778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04924537,"threshold_uncertainty_score":0.3573018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016125225398285,"score_gpt":0.3451874609289433,"score_spread":0.3250262086749605,"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."}}