{"id":"W4400816340","doi":"10.3102/2114104","title":"Contextualizing Ontario’s Reading Achievement Trajectories From Early Childhood Through High School (Poster 27)","year":2024,"lang":"en","type":"article","venue":"","topic":"Education Methods and Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reading (process); Computer science; Mathematics education; Psychology; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001064071,0.0001346775,0.0001638545,0.00004604,0.0005016858,0.001013045,0.0002105882,0.0000995138,0.008022309],"category_scores_gemma":[0.0003199845,0.0001140399,0.0000763724,0.0002248757,0.00008658366,0.00157591,0.00003533407,0.000311117,0.0003953703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660845,"about_ca_system_score_gemma":0.000711246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6582797,"about_ca_topic_score_gemma":0.2407081,"domain_scores_codex":[0.9983013,0.0004211941,0.0002580654,0.0003531708,0.0003780705,0.0002882285],"domain_scores_gemma":[0.9985238,0.0010394,0.00006788308,0.0001802299,0.00005847216,0.0001302484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001530411,0.00009316389,0.04091066,0.000008776256,0.000186595,0.000006771914,0.5643806,5.232654e-7,0.0003155967,0.3763727,0.006917869,0.01079147],"study_design_scores_gemma":[0.0001602149,0.00006213861,0.08173626,0.0001115758,0.00007970066,4.915863e-7,0.06051739,4.300311e-7,0.0008257492,0.05871095,0.7975135,0.0002816341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7614641,0.001067567,0.003148454,0.0164933,0.006481148,0.0003429638,0.00001266992,0.0003057822,0.2106841],"genre_scores_gemma":[0.9336507,0.000160869,0.0298242,0.001371138,0.001348936,0.0000223599,0.00001375485,0.00001957091,0.03358842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7905956,"threshold_uncertainty_score":0.9928845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05831189693568926,"score_gpt":0.3768494615364696,"score_spread":0.3185375646007804,"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."}}