{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002366949,0.005314002,0.003945724,0.00528567,0.001906023,0.005225083,0.006290134,0.003403504,0.3872282],"category_scores_gemma":[0.01144174,0.001708362,0.002666991,0.006354402,0.0009254457,0.003412388,0.005065698,0.003098471,0.5030855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496431,"about_ca_system_score_gemma":0.002750965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006213567,"about_ca_topic_score_gemma":0.009685252,"domain_scores_codex":[0.9980756,0.0003937283,0.0001695644,0.0007621916,0.0003215412,0.000277382],"domain_scores_gemma":[0.9970777,0.0007811175,0.0001825517,0.001120093,0.000463844,0.0003747664],"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":[0.00008987311,0.00001812887,0.0002041197,0.0009296705,0.00003171618,0.00001284322,0.00002696749,0.0001022999,0.0002952516,0.0006370423,0.9953068,0.002345426],"study_design_scores_gemma":[0.0003527318,0.00002797413,0.0007017957,0.000262676,0.00004244065,0.00004071638,0.00004347362,0.0003370612,0.001096047,0.003303241,0.9937463,0.00004552001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001016413,0.0001206155,0.0003225394,0.00008885912,0.00008420268,0.00002825239,0.9918759,0.005484022,0.001893896],"genre_scores_gemma":[0.0006011678,0.0001215951,0.00111129,0.0001491681,0.00002562858,0.0002699754,0.9937366,0.002349404,0.00163515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6127718,"threshold_uncertainty_score":0.8740446,"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."}}