{"id":"W2596692774","doi":"","title":"Socioeconomic Gradient Literacy and Numeracy Skills of 15-year-olds across Canadian Provinces and Years using the PISA Surveys (2000-2012)","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Numeracy; Socioeconomic status; Decile; Literacy; Educational attainment; Psychology; Reading (process); Geography; Mathematics education; Demography; Political science; Sociology; Economic growth; Population; Pedagogy; Statistics; Mathematics; Economics","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":[0.001004919,0.000376864,0.0004435551,0.003184735,0.002305289,0.001333186,0.00107559,0.0003074903,0.001819031],"category_scores_gemma":[0.002668441,0.0002637961,0.0009111722,0.006164123,0.0006045999,0.0004703097,0.001192975,0.0005738912,0.0003613852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01236826,"about_ca_system_score_gemma":0.02199546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952129,"about_ca_topic_score_gemma":0.9963381,"domain_scores_codex":[0.999057,0.00004623913,0.00006709743,0.0001580648,0.0003808622,0.0002907847],"domain_scores_gemma":[0.9982308,0.00006965875,0.0002699557,0.00008557842,0.001008773,0.0003352164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005114355,0.00002918622,0.991148,0.00005122844,0.00007628308,0.00003881657,0.001331412,0.0001082949,0.00009422461,0.0002261402,0.001578853,0.005266437],"study_design_scores_gemma":[0.000001654541,0.00000961744,0.9983943,0.00001557057,0.00001294872,0.00001101279,0.0007218444,0.00006662299,0.00002492629,0.00001410026,0.0007227341,0.000004691164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728846,0.000757647,0.0001786884,0.000218852,0.00001645329,0.000106336,0.02128206,0.00001798521,0.004537417],"genre_scores_gemma":[0.9879853,0.000548274,0.0003818689,0.00007532498,0.000005811774,0.00006252621,0.009207651,0.000005605153,0.001727654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236826,"threshold_uncertainty_score":0.08973843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066789311524527,"score_gpt":0.3844570223612566,"score_spread":0.3537891292460114,"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."}}