{"id":"W4398710849","doi":"10.7910/dvn/omdqi9/myys99","title":"synth.Rdata","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005256421,0.0005527542,0.0007141783,0.000331531,0.0001552938,0.0008808203,0.01107998,0.0002834476,0.008533337],"category_scores_gemma":[0.0008401921,0.0005395239,0.000217083,0.0008398214,0.0001011812,0.001919127,0.007291158,0.0007262875,0.6938882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000899376,"about_ca_system_score_gemma":0.0003240792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003398713,"about_ca_topic_score_gemma":0.0001227045,"domain_scores_codex":[0.996021,0.0002377288,0.0005716649,0.001634137,0.0009650639,0.0005704058],"domain_scores_gemma":[0.9909329,0.0001829772,0.0003984269,0.007957458,0.00008550945,0.0004427113],"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":[0.000005469687,0.00005511917,7.698022e-7,0.00007777485,0.0001618916,0.0006075584,0.000009427692,0.0000023241,0.00000764012,0.0003403474,0.9976932,0.001038479],"study_design_scores_gemma":[0.0002014411,0.00003318583,0.000003752745,0.00005467338,0.0002032809,0.00003231304,0.000006678253,0.001492654,0.00002240027,0.0000465016,0.9973143,0.000588814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.350027e-8,0.000001418547,0.02862794,0.0000712222,0.0008882912,0.0001942019,0.9698068,0.0002326816,0.000177401],"genre_scores_gemma":[8.557877e-7,0.0002841044,0.009564072,0.00244912,0.0003665256,0.00002143561,0.9871032,0.0000228528,0.0001877815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6853548,"threshold_uncertainty_score":0.9997056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870859240107252,"score_gpt":0.238588561093642,"score_spread":0.2198799686925694,"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."}}