{"id":"W2802188757","doi":"10.2139/ssrn.3037129","title":"Red Flags for Educators: Lessons for Canada in the PISA Results","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Reading (process); Gender gap; Political science; Mathematics education; Psychology; Demographic economics; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02319975,0.0008105893,0.00126073,0.003520364,0.03001515,0.02156982,0.005518431,0.01130213,0.03793643],"category_scores_gemma":[0.08229049,0.0007321788,0.001539251,0.007984447,0.009956352,0.009055628,0.008731222,0.01726775,0.002544743],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1681898,"about_ca_system_score_gemma":0.4908456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893473,"about_ca_topic_score_gemma":0.9939267,"domain_scores_codex":[0.9704357,0.004114402,0.0006107678,0.001509228,0.00990398,0.01342581],"domain_scores_gemma":[0.9178925,0.0144691,0.001876759,0.002375745,0.03723033,0.02615556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001559449,0.0001662452,0.01288093,0.0002913632,0.00004395886,0.0002963701,0.007468501,0.0006382277,0.0001246623,0.1445845,0.7662434,0.06710588],"study_design_scores_gemma":[0.0002161044,0.0001391521,0.04191662,0.002167632,0.0002037937,0.0001314767,0.05726299,0.001221186,0.0006510171,0.04407046,0.8517321,0.0002875504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02626752,0.003154872,0.002013968,0.8032581,0.002816277,0.0001877816,0.002021626,0.000327495,0.1599524],"genre_scores_gemma":[0.5724473,0.005810714,0.007265676,0.262803,0.0009765066,0.0003705821,0.001909955,0.0004849721,0.1479313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1681898,"threshold_uncertainty_score":0.964782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450037987313582,"score_gpt":0.3352423567052689,"score_spread":0.3107419768321331,"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."}}