{"id":"W2049179220","doi":"10.1007/s12134-003-1015-1","title":"Evaluation of settlement service programs for newcomers in ontario: A geographical perspective","year":2003,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Settlement (finance); Metropolitan area; Immigration; Geography; Service (business); Government (linguistics); Distribution (mathematics); Regional science; Perspective (graphical); Economic growth; Public administration; Political science; Economy; Business; Archaeology; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007489852,0.0006530449,0.0009244755,0.00164642,0.005874604,0.002493745,0.002433039,0.0008870714,0.004547178],"category_scores_gemma":[0.01517364,0.0004497159,0.001107036,0.003195504,0.001600042,0.001143739,0.002305772,0.0009742843,0.0003701058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08311297,"about_ca_system_score_gemma":0.1505857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9522468,"about_ca_topic_score_gemma":0.9816269,"domain_scores_codex":[0.9914504,0.00341944,0.0004617161,0.000352539,0.002768792,0.001547103],"domain_scores_gemma":[0.9842775,0.002444582,0.001786258,0.0005445487,0.006606708,0.004340278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.01732814,0.02559862,0.561833,0.002983901,0.0008430762,0.001091902,0.0568394,0.01068708,0.003058518,0.003722154,0.01162312,0.304391],"study_design_scores_gemma":[0.003809026,0.02287832,0.8787995,0.0007465788,0.0007505355,0.0001045915,0.06847639,0.004609426,0.001311372,0.0004411119,0.01795876,0.0001143761],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859529,0.0003429018,0.0001876028,0.0008694436,0.00003789332,0.003728442,0.000888199,0.00002280371,0.007969939],"genre_scores_gemma":[0.9910047,0.0007384258,0.001301591,0.0001896501,0.00002513157,0.002237052,0.0007558866,0.00001187555,0.003735654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08311297,"threshold_uncertainty_score":0.6030296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05797164744009482,"score_gpt":0.3646192984590192,"score_spread":0.3066476510189244,"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."}}