{"id":"W2766184575","doi":"","title":"Poverty, Homelessness, and Family Break-Up.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Quarter (Canadian coin); Family disruption; Psychology; Qualitative research; Developmental psychology; Sociology; Geography; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.0004770383,0.0001365867,0.0003792448,0.00006146004,0.0007292799,0.0000242922,0.0001486387,0.0002065165,0.0001346285],"category_scores_gemma":[0.0001038009,0.0001145916,0.0000342966,0.0002000252,0.000159449,0.0001487283,0.0001595349,0.00023795,0.0002283512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005773315,"about_ca_system_score_gemma":0.00005832306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148104,"about_ca_topic_score_gemma":0.002872906,"domain_scores_codex":[0.9984112,0.0001873847,0.0002729852,0.0002596253,0.0001887543,0.0006800199],"domain_scores_gemma":[0.999146,0.0001492089,0.00009725817,0.0002209475,0.0001675267,0.000219069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008875741,0.000060204,0.4973288,0.0001969457,0.00005407952,0.000007153716,0.02985905,2.65693e-8,0.00003739465,0.01246961,0.004377271,0.4555207],"study_design_scores_gemma":[0.0005831568,0.0000123248,0.9160588,0.00001974648,0.00001376927,9.210855e-8,0.0196339,0.000004480601,0.00003243981,0.001735351,0.06174913,0.0001567568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491339,0.0007074088,0.00004266464,0.0003637226,0.001678739,0.0007477797,0.00002015868,0.0001506528,0.047155],"genre_scores_gemma":[0.9927948,0.0002639263,0.00001812818,0.0006967556,0.001203312,0.001106785,0.000006965935,0.00003016809,0.003879212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.455364,"threshold_uncertainty_score":0.5609105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547246293366971,"score_gpt":0.3488017729706734,"score_spread":0.2940771436339764,"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."}}