{"id":"W2405539249","doi":"10.19173/irrodl.v17i3.2257","title":"Hispanic or Latino Student Success in Online Schools","year":2016,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Dropout (neural networks); Univariate; Drop out; Charter; Multivariate analysis; Psychology; Medical education; Blended learning; Mathematics education; Medicine; Multivariate statistics; Computer science; Political science; Mathematics; Educational technology; Statistics; Demographic economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002140517,0.0001540105,0.0003017172,0.001628326,0.000748141,0.00200512,0.000551849,0.0003456071,0.005038559],"category_scores_gemma":[0.003380922,0.0001385316,0.0002984176,0.002361305,0.0005092766,0.001136565,0.001175376,0.0005281558,0.0005742016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009144938,"about_ca_system_score_gemma":0.001984756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02861093,"about_ca_topic_score_gemma":0.05397618,"domain_scores_codex":[0.998944,0.0002714844,0.00005205008,0.0001544756,0.0003505294,0.0002274983],"domain_scores_gemma":[0.9975603,0.0003626557,0.0009302531,0.00007282495,0.0003620416,0.0007119908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000784353,0.000352053,0.8789995,0.0003360983,0.0000891544,0.0001075955,0.003362925,0.00006868267,0.0001467756,0.0007071818,0.004533326,0.1112183],"study_design_scores_gemma":[0.000004394639,0.0001032512,0.9869273,0.0002950427,0.0000619677,0.00002862,0.007368186,0.00004739711,0.0001166682,0.0000818637,0.004959795,0.000005412524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707752,0.01320773,0.0001088169,0.001936264,0.0001083461,0.0000213275,0.0003422749,0.00001932561,0.01348071],"genre_scores_gemma":[0.9870117,0.009794277,0.0001172458,0.0002539127,0.00007365984,0.00002081582,0.0003104815,0.000006798335,0.002411061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02861093,"threshold_uncertainty_score":0.05688876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196639488637593,"score_gpt":0.5205724859512783,"score_spread":0.4009085370875189,"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."}}