{"id":"W4398504684","doi":"10.7910/dvn/kldwd8","title":"Back-to-School Data","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.003534777,0.0003739776,0.0004916194,0.00060111,0.0003171171,0.0008413604,0.0113299,0.0001205367,0.9723549],"category_scores_gemma":[0.004158548,0.000313749,0.0001075546,0.0009482155,0.00005561884,0.00109197,0.01098762,0.0005835601,0.745408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274642,"about_ca_system_score_gemma":0.001069332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005409171,"about_ca_topic_score_gemma":0.0002636285,"domain_scores_codex":[0.9929993,0.0002986251,0.0009785803,0.001767283,0.003505867,0.0004503569],"domain_scores_gemma":[0.9884133,0.0007506358,0.0004889373,0.009616117,0.0002065252,0.0005244964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002448207,0.0001807698,0.00003580845,0.00001084756,0.0000458044,0.00001263943,0.000009949803,0.000006753951,0.000005922294,0.00002573509,0.9988838,0.0007574296],"study_design_scores_gemma":[0.0002257061,0.00008500039,0.0001560635,0.00001126486,0.00005725261,0.000005107732,0.0004066864,0.00002007842,0.00000137709,0.0001804779,0.9984623,0.0003887458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007833124,0.000001258214,0.00006162749,0.0002642859,0.003745347,0.0005679246,0.9937109,0.00001484006,0.001626036],"genre_scores_gemma":[6.337827e-7,0.00006878383,0.001059013,0.004818366,0.0006856819,0.00007714608,0.9721285,0.00002003267,0.02114182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2269468,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1488761137818271,"score_gpt":0.408332593769444,"score_spread":0.259456479987617,"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."}}