{"id":"W2275672838","doi":"","title":"Reducing Incentives for Abuse: Canada's inland refugee system","year":2013,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Incentive; Criminology; Political science; Psychology; Economics; Law","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":[0.002468781,0.0003315096,0.00047964,0.001471453,0.01964515,0.006733464,0.002588061,0.002221989,0.005295218],"category_scores_gemma":[0.006053226,0.0002816434,0.0004096503,0.002253734,0.00359921,0.001417559,0.004037428,0.001998844,0.000237881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1204242,"about_ca_system_score_gemma":0.2583855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938354,"about_ca_topic_score_gemma":0.9974039,"domain_scores_codex":[0.9952652,0.0006806301,0.00008245814,0.0002087476,0.0009615244,0.00280142],"domain_scores_gemma":[0.9943288,0.0006992234,0.0003384194,0.0002589863,0.001942649,0.002431909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006647169,0.001135408,0.2118206,0.0007855065,0.0002869751,0.006523521,0.05171559,0.01135969,0.003267163,0.3425876,0.1389913,0.230862],"study_design_scores_gemma":[0.0003980082,0.0005231893,0.368507,0.001095825,0.0003829359,0.001338064,0.1409953,0.01477367,0.001973263,0.02151239,0.4480835,0.0004168328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8194445,0.002348117,0.001843883,0.0619185,0.0001889561,0.0004349403,0.0009588222,0.0001044571,0.1127578],"genre_scores_gemma":[0.9690643,0.001469529,0.002356077,0.004829861,0.00002469461,0.0000765405,0.0002833808,0.00001861178,0.02187703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1204242,"threshold_uncertainty_score":0.8737427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008808629988408163,"score_gpt":0.2151496793943328,"score_spread":0.2063410494059246,"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."}}