{"id":"W3121821880","doi":"10.1177/0042098020976308","title":"Urban migrant and refugee solidarity beyond city limits","year":2021,"lang":"en","type":"article","venue":"Urban Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Solidarity; Refugee; Political science; State (computer science); Sociology; Economic growth; Geography; Politics; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501251,0.0001346683,0.0002506046,0.00004500779,0.001037382,0.0001101497,0.00008775132,0.00008961261,0.00006746454],"category_scores_gemma":[0.0009196685,0.0001162793,0.00006744929,0.0002503784,0.0003810701,0.0002509484,0.00004840776,0.0001267697,0.0000161435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008458783,"about_ca_system_score_gemma":0.0001353764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000381288,"about_ca_topic_score_gemma":0.0484931,"domain_scores_codex":[0.9987006,0.000190594,0.0002227307,0.0003042553,0.0003179021,0.0002639433],"domain_scores_gemma":[0.999105,0.0001436685,0.00007799386,0.0001624888,0.0004205265,0.00009028718],"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":[0.00001978225,0.0001379396,0.1092664,0.00005085724,0.0002185517,0.00001536987,0.2545183,2.937592e-7,0.0007784005,0.1207779,0.5082775,0.005938648],"study_design_scores_gemma":[0.0002291137,0.00005299601,0.02142925,0.00003901106,0.00005790185,0.000001827072,0.01712309,0.00001092578,0.001209185,0.006763485,0.9528577,0.0002254701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276153,0.03858172,0.00005472229,0.00311301,0.000669372,0.0002006988,0.00001977724,0.0001122777,0.02963316],"genre_scores_gemma":[0.974606,0.003379102,0.0002399955,0.0004702735,0.0006227331,0.00001912401,0.00001234047,0.000008031673,0.02064235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4445802,"threshold_uncertainty_score":0.9688694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627409877114089,"score_gpt":0.3300734577879185,"score_spread":0.2837993590167776,"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."}}