{"id":"W348362418","doi":"","title":"Assessing Growth in Reading through Multiple Sources of Information.","year":2003,"lang":"en","type":"article","venue":"English quarterly","topic":"Reading and Literacy Development","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reading (process); Psychology; Pedagogy; Mathematics education; Linguistics; Sociology; Philosophy","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":[0.002585586,0.0004316095,0.0002954975,0.002588363,0.000259159,0.001012801,0.0004045027,0.0004518513,0.002900877],"category_scores_gemma":[0.01795669,0.0002395827,0.0002948239,0.001340699,0.0002371645,0.001548754,0.0009352723,0.0008463697,0.0009867371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819025,"about_ca_system_score_gemma":0.0008008677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005259071,"about_ca_topic_score_gemma":0.008319449,"domain_scores_codex":[0.9987243,0.0003632524,0.00008811658,0.0001639044,0.0005786545,0.00008177276],"domain_scores_gemma":[0.9840891,0.007108805,0.003372344,0.0005575682,0.003610166,0.001261893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009698341,0.002095741,0.6836113,0.000293727,0.0002098898,0.0003247726,0.004507626,0.0003067478,0.01217201,0.0003295655,0.002633585,0.2925453],"study_design_scores_gemma":[0.00003302429,0.001267448,0.9832211,0.0001338257,0.0001561352,0.0005196265,0.002231506,0.0006560118,0.008746829,0.0003901831,0.002617504,0.00002683151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905232,0.0006690071,0.001315491,0.0001816555,0.00002424655,0.00006778799,0.0006420686,0.00007261903,0.006504117],"genre_scores_gemma":[0.9853579,0.00104146,0.005228404,0.00004833691,0.00001673056,0.0001168279,0.0009410418,0.00003920431,0.007210158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005259071,"threshold_uncertainty_score":0.01367408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582986297269587,"score_gpt":0.283856586973422,"score_spread":0.2680267240007261,"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."}}