{"id":"W2262819763","doi":"10.29173/iasl7768","title":"Introducing and establishing a wide reading program in the middle years of schooling","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Computer science; Political science; Mathematics education; Psychology","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":[0.01081918,0.0002959842,0.0003384634,0.001321309,0.003874914,0.002239348,0.001565851,0.002615577,0.008130668],"category_scores_gemma":[0.01445471,0.0004295975,0.0003942344,0.000585601,0.001955738,0.003592389,0.009164451,0.003924683,0.003226188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905661,"about_ca_system_score_gemma":0.01475017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002898,"about_ca_topic_score_gemma":0.01184856,"domain_scores_codex":[0.9950336,0.002224911,0.0002170374,0.0006308501,0.0007427201,0.001150861],"domain_scores_gemma":[0.9831065,0.004095111,0.001015847,0.001581307,0.002374351,0.007826862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000155543,0.00486429,0.02080762,0.0007647181,0.00001518933,0.00143186,0.02841913,0.0007092155,0.006710403,0.02007624,0.03319042,0.8828554],"study_design_scores_gemma":[0.0002490569,0.008680596,0.2268913,0.002609573,0.00004910867,0.001868648,0.05669917,0.001083123,0.008033021,0.02168122,0.6718483,0.0003069522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5993022,0.002615537,0.08215514,0.045979,0.00229917,0.006778973,0.0003296127,0.002282511,0.2582578],"genre_scores_gemma":[0.7816386,0.001815437,0.1181299,0.009498443,0.000662985,0.004034071,0.0004254275,0.0002363953,0.08355879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081918,"threshold_uncertainty_score":0.05721802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04978127360492345,"score_gpt":0.3357650243202393,"score_spread":0.2859837507153158,"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."}}