{"id":"W2768215055","doi":"10.13140/rg.2.2.29392.64001","title":"Material deprivation in Canada","year":2017,"lang":"en","type":"preprint","venue":"uO Research (University of Ottawa)","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Statistics; Relative deprivation; Social deprivation; Econometrics; Official statistics; Yield (engineering); Psychology; Economics; Demographic economics; Mathematics; Computer science; Social 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":[0.001236131,0.0004975672,0.0006885926,0.004030521,0.008607113,0.003096198,0.001584179,0.0004144919,0.01544121],"category_scores_gemma":[0.007455278,0.0002774092,0.0009981057,0.01100179,0.001154179,0.001000784,0.002365448,0.001044088,0.001101062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07918818,"about_ca_system_score_gemma":0.1854987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982686,"about_ca_topic_score_gemma":0.9987699,"domain_scores_codex":[0.9971024,0.0001373362,0.0001654526,0.0002473653,0.001455799,0.0008915318],"domain_scores_gemma":[0.9936368,0.0002234131,0.000396496,0.0001701734,0.004030583,0.001542474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002965608,0.000113442,0.4830762,0.001623214,0.0002857744,0.0008675123,0.01145174,0.001256169,0.0003157918,0.02212105,0.2851588,0.1934337],"study_design_scores_gemma":[0.00003142902,0.00005888128,0.8333135,0.0009045932,0.0000768531,0.0002958201,0.008159492,0.0008333777,0.0001888925,0.002001982,0.1539931,0.0001420387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4678154,0.01777232,0.001884836,0.02161809,0.00108642,0.0008446464,0.1888954,0.0003564279,0.2997266],"genre_scores_gemma":[0.9244076,0.009756591,0.002243324,0.002266071,0.00008508993,0.0002821585,0.0283265,0.00009664876,0.03253609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07918818,"threshold_uncertainty_score":0.5745531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0918553674594048,"score_gpt":0.3553836174501633,"score_spread":0.2635282499907585,"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."}}