{"id":"W2272351350","doi":"10.1177/1529100615623267","title":"So Much to Read, So Little Time","year":2016,"lang":"en","type":"review","venue":"Gothic.net","topic":"Reading and Literacy Development","field":"Psychology","cited_by":304,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Psychology; Data science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005372145,0.0006134497,0.000741348,0.0009834245,0.0007684862,0.003152375,0.0009142086,0.00200637,0.0218596],"category_scores_gemma":[0.003306619,0.0002343274,0.0005094832,0.001127386,0.001988661,0.004784595,0.002177052,0.002007755,0.02072472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000448475,"about_ca_system_score_gemma":0.0009904734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009014648,"about_ca_topic_score_gemma":0.001798213,"domain_scores_codex":[0.9992098,0.0002319274,0.00007634875,0.0001323822,0.0002727614,0.00007682628],"domain_scores_gemma":[0.9988415,0.0003975858,0.0002000404,0.0001461719,0.0002436453,0.000171116],"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":[0.00006353242,0.00008927011,0.0009772307,0.007269452,0.0001191801,0.0003552966,0.001768651,0.00006849181,0.002725127,0.01603423,0.249025,0.7215045],"study_design_scores_gemma":[0.000007779376,0.00004083993,0.001504259,0.002569798,0.00004104183,0.001203418,0.0005753912,0.00001164229,0.0003023896,0.004989575,0.9887418,0.0000120936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00554435,0.7696744,0.003590162,0.06048567,0.01598751,0.00007169365,0.0004537035,0.0005168048,0.1436758],"genre_scores_gemma":[0.041692,0.7627657,0.003962334,0.04336051,0.007632163,0.00008981225,0.0006718982,0.0002535005,0.1395721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0218596,"threshold_uncertainty_score":0.07312763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049874541706119,"score_gpt":0.3757345169852721,"score_spread":0.3352357715682109,"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."}}