{"id":"W3007931675","doi":"","title":"SEARCH FOR SELF-HOOD ; ASTUDY OF MARGARET LAURENCE’S THE STONE ANGEL AND THE DIVINERS","year":2019,"lang":"en","type":"article","venue":"Journal of Emerging Technologies and Innovative Research","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Multiculturalism; Ethnic group; History; Identity (music); Mythology; Immigration; Population; Cultural identity; National identity; Gender studies; Ethnology; Genealogy; Anthropology; Sociology; Classics; Politics; Political science; Art; Social science; Law; Aesthetics; Archaeology; Demography","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":[0.003580723,0.0005994542,0.000607404,0.002130846,0.0250303,0.011196,0.001865102,0.002939124,0.01551726],"category_scores_gemma":[0.01117464,0.0003747744,0.0003868771,0.001548112,0.01328388,0.005791638,0.004454907,0.008538762,0.006966355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0306801,"about_ca_system_score_gemma":0.06137554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7674351,"about_ca_topic_score_gemma":0.9151409,"domain_scores_codex":[0.9962376,0.0005253977,0.000066106,0.0004123609,0.001976799,0.0007816452],"domain_scores_gemma":[0.9912553,0.0007204348,0.0002938544,0.0002678519,0.00428042,0.003182086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006079352,0.000005110703,0.0001789076,0.00002551416,0.000002097508,0.0001027325,0.005257951,0.000006677078,0.00004965252,0.01296236,0.9703561,0.01104683],"study_design_scores_gemma":[0.000001050757,0.000001369233,0.0001652594,0.00009990895,0.000001443897,0.00008715976,0.005881556,0.000009264169,0.00003110217,0.00126792,0.9924461,0.000007759934],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00357281,0.04759244,0.000738556,0.7440939,0.03616825,0.00003650908,0.0002459692,0.0002338245,0.1673177],"genre_scores_gemma":[0.06875259,0.02772571,0.002185678,0.2230552,0.007359129,0.00004812807,0.0002297586,0.0006912468,0.6699526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2325649,"threshold_uncertainty_score":0.4678689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663243236715701,"score_gpt":0.3613857406707119,"score_spread":0.3147533083035549,"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."}}