{"id":"W2010143454","doi":"10.1207/s15548430jlr3401_4","title":"Teaching Decoding Skills to Poor Readers in High School","year":2002,"lang":"en","type":"article","venue":"Journal of Literacy Research","topic":"Reading and Literacy Development","field":"Psychology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Psychology; Reading comprehension; Class (philosophy); Mathematics education; Test (biology); Reading (process); Control (management); Comprehension; Analysis of covariance; Word (group theory); Computer science; Linguistics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005836842,0.0001536815,0.0003471566,0.002037341,0.0001657823,0.000282278,0.0005865055,0.0001047171,0.00284338],"category_scores_gemma":[0.00149942,0.000128362,0.00009912265,0.0007719382,0.00003920934,0.0005490088,0.00009891722,0.002007584,0.001166802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003845522,"about_ca_system_score_gemma":0.00006074917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000266752,"about_ca_topic_score_gemma":0.000004366614,"domain_scores_codex":[0.9960306,0.001006611,0.0009725426,0.0002902171,0.0009102981,0.0007897138],"domain_scores_gemma":[0.997601,0.001013694,0.0001792363,0.0003155519,0.0004069936,0.0004835617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004424827,0.001392498,0.1280272,0.00006672628,0.0001758474,0.002495693,0.1861897,0.00004829916,0.001635681,0.001557127,0.2035245,0.4744443],"study_design_scores_gemma":[0.005597914,0.001684426,0.3149009,0.003210519,0.00002033158,0.001742408,0.01114367,0.0003346304,0.0005310184,0.00245811,0.6575455,0.0008305675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762025,0.0005912279,0.0001373041,0.007738943,0.0007205397,0.0001994325,0.00000236548,0.0000127129,0.01439501],"genre_scores_gemma":[0.95938,0.00003946881,0.009979346,0.0007271848,0.0006276162,0.00001486668,0.000001032224,0.00003036702,0.02920016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4736137,"threshold_uncertainty_score":0.9996109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07488036412231054,"score_gpt":0.4438072175624416,"score_spread":0.368926853440131,"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."}}