{"id":"W2151750414","doi":"10.4013/edu.2013.173.04","title":"Reforço escolar: análise comparada dos meandros de um fenômeno em crescimento","year":2013,"lang":"pt","type":"article","venue":"Educação Unisinos","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Equity (law); Multitude; Formal education; Educational equity; Politics; Scale (ratio); Human capital theory; Human capital; Sociology; Order (exchange); Private sector; Pedagogy; Political science; Psychology; Mathematics education; Public relations; Economic growth; Business; Economics; Geography; Finance; Cartography","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001026613,0.0005471552,0.0006128333,0.0002054846,0.001486552,0.001223347,0.001079839,0.0003677151,0.0134724],"category_scores_gemma":[0.0003790378,0.0004775851,0.0002900294,0.0008427658,0.0004753159,0.001405465,0.0002008682,0.0005234684,0.002941028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416584,"about_ca_system_score_gemma":0.002618409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03833286,"about_ca_topic_score_gemma":0.002507654,"domain_scores_codex":[0.9950837,0.0004532868,0.0008713157,0.000698352,0.001272358,0.001620956],"domain_scores_gemma":[0.9969808,0.000220831,0.0004065236,0.0006987514,0.0005977438,0.001095309],"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":[0.00006841549,0.001812333,0.008034211,0.0001671168,0.0002601147,0.000009706453,0.1856796,0.00003026428,0.0003872471,0.07332978,0.7222311,0.007990136],"study_design_scores_gemma":[0.0008645885,0.0004251129,0.0373418,0.0002934854,0.0001170345,0.00001444295,0.3342994,0.0002032062,0.0003576551,0.01232374,0.6126726,0.00108695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935062,0.001396028,0.00002619884,0.01258436,0.004657353,0.001388524,0.0000952475,0.0001255433,0.08622052],"genre_scores_gemma":[0.8716949,0.0002098964,0.0003557086,0.002661183,0.001546237,0.000155052,0.00005185373,0.00004706028,0.1232781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1486198,"threshold_uncertainty_score":0.9998135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866558322775564,"score_gpt":0.3440297319868494,"score_spread":0.2953641487590938,"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."}}