{"id":"W2064133601","doi":"10.1136/bmj.331.7514.418","title":"Medical needs of immigrant populations","year":2005,"lang":"en","type":"editorial","venue":"BMJ","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Quarter (Canadian coin); Population; Population ageing; Geography; Population growth; Socioeconomics; Development economics; Economic growth; Demography; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001542071,0.0002178436,0.0007305826,0.0002159764,0.0005361256,0.000001939314,0.000297935,0.001787323,0.001460803],"category_scores_gemma":[0.00676519,0.0001790005,0.000136657,0.0002442541,0.00008040017,0.00002859223,0.0001768591,0.001965559,0.0005570136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246179,"about_ca_system_score_gemma":0.003840396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003897781,"about_ca_topic_score_gemma":0.001524882,"domain_scores_codex":[0.9962745,0.0002227845,0.001466152,0.0001678393,0.001272312,0.0005963591],"domain_scores_gemma":[0.9963115,0.001839685,0.0006093236,0.0004330502,0.0004765766,0.0003298862],"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":[0.00003505536,0.00003180744,0.0003691071,0.0005763986,0.00003298271,0.00000266487,0.007183522,1.786949e-7,1.516103e-7,0.0003290036,0.9879764,0.003462701],"study_design_scores_gemma":[0.000594263,0.00004208133,0.0009496512,0.0008081137,0.00004384045,2.336797e-7,0.001218802,0.000007787678,1.088943e-7,0.00002499442,0.9961604,0.0001496499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007190752,0.001082223,0.00003028473,0.03826455,0.9304847,0.0009297581,0.0002876564,0.00007915768,0.02876974],"genre_scores_gemma":[0.0003458975,0.0005826908,0.0001158524,0.001571637,0.9731377,0.0003733372,0.0003167339,0.00003839303,0.02351779],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04265295,"threshold_uncertainty_score":0.9995086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08660561264807881,"score_gpt":0.5059383531023234,"score_spread":0.4193327404542446,"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."}}