{"id":"W4385727295","doi":"10.32920/23929164","title":"Settlement and Integration Research Synthesis 2009-2013","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; York University","keywords":"Operationalization; Settlement (finance); Social integration; Context (archaeology); Citizenship; Politics; Diversity (politics); Government (linguistics); Political science; Sociology; Public relations; Public administration; Economic growth; Business; Geography; Economics; Law","routes":{"ca_aff":false,"ca_fund":true,"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":[0.007577148,0.0009329271,0.001548064,0.0173951,0.006578999,0.006404507,0.002228165,0.0009902578,0.04598465],"category_scores_gemma":[0.01784839,0.0006600209,0.001342744,0.0517132,0.002347266,0.002633707,0.005412072,0.002536816,0.005422974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1084931,"about_ca_system_score_gemma":0.2332421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9423251,"about_ca_topic_score_gemma":0.9534029,"domain_scores_codex":[0.994103,0.0007992173,0.0005328272,0.000583331,0.003010705,0.0009710096],"domain_scores_gemma":[0.9888293,0.001165279,0.0005946938,0.0005076805,0.007743617,0.001159434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001843641,0.00005255876,0.006049095,0.01401366,0.0001970107,0.0002377969,0.01380505,0.0003477571,0.0002943373,0.04433844,0.7082977,0.2121822],"study_design_scores_gemma":[0.00002884617,0.00001365517,0.03627913,0.009562506,0.0001530835,0.00005721033,0.008240621,0.00004586084,0.0001540466,0.001696881,0.9437447,0.00002347388],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01865698,0.2237175,0.002705665,0.0294403,0.006791177,0.001572386,0.2464985,0.000369564,0.4702479],"genre_scores_gemma":[0.24245,0.3292143,0.01117624,0.009491227,0.001787194,0.003851869,0.2025044,0.0006615674,0.1988634],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1084931,"threshold_uncertainty_score":0.7871764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141585228024748,"score_gpt":0.3774830990891711,"score_spread":0.2358978710644231,"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."}}