{"id":"W4394701282","doi":"10.25071/r7bhb683","title":"Poverty: Mexico’s overwhelming shadow","year":2001,"lang":"en","type":"article","venue":"Canada Watch","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Shadow (psychology); Geography; Socioeconomics; Sociology; Economics; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009353738,0.0001998343,0.0003665246,0.001063968,0.006732702,0.004233503,0.0004864775,0.001446454,0.00860163],"category_scores_gemma":[0.001535959,0.0001424903,0.000160289,0.00153118,0.00274466,0.002290185,0.004075683,0.002847745,0.0001924164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008506576,"about_ca_system_score_gemma":0.008905532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3093663,"about_ca_topic_score_gemma":0.4134651,"domain_scores_codex":[0.9995267,0.0000666222,0.000006802564,0.00004589163,0.0001046245,0.0002493832],"domain_scores_gemma":[0.9993332,0.0001256511,0.00008404617,0.00003358756,0.0001492257,0.0002741453],"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":[0.0001991971,0.00008560665,0.04021296,0.0007270926,0.00009658781,0.001048072,0.0137127,0.0002813341,0.000555703,0.2847233,0.4128086,0.2455489],"study_design_scores_gemma":[0.00002011498,0.00003733283,0.09043578,0.001317824,0.00004030971,0.0002511187,0.01833372,0.0001298759,0.0001936518,0.02729535,0.8619103,0.00003458318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1426174,0.07478679,0.0003548414,0.6531556,0.001126505,0.00001693519,0.001207737,0.00004547319,0.1266887],"genre_scores_gemma":[0.8425733,0.08354616,0.0004770221,0.04626888,0.001851811,0.00005241248,0.0005033144,0.00005085601,0.02467613],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3093663,"threshold_uncertainty_score":0.6151313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724741882404337,"score_gpt":0.2817095752123341,"score_spread":0.2544621563882907,"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."}}