{"id":"W4398502637","doi":"10.7910/dvn/ii5jzg/cxqdoa","title":"MSP_F_70_NFL_4_41.xlsx","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":"Polytechnique Montréal","funders":"","keywords":"Physics","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":[0.000372566,0.0005910094,0.0007541266,0.0003623065,0.0001640999,0.00081405,0.008566956,0.0003230849,0.008555726],"category_scores_gemma":[0.0004288424,0.0005785438,0.0002742759,0.0009965206,0.0001052396,0.001520628,0.004686913,0.0007813929,0.6944163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066322,"about_ca_system_score_gemma":0.0003426639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166986,"about_ca_topic_score_gemma":0.0001264477,"domain_scores_codex":[0.9960142,0.0001875658,0.0005993277,0.001568195,0.00101625,0.0006143953],"domain_scores_gemma":[0.9927876,0.0001237186,0.0004262742,0.006079505,0.0001031561,0.0004797473],"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":[0.000006896668,0.00005784568,0.00000125463,0.00007118614,0.0001586577,0.0005998944,0.00001413296,0.000005144553,0.000006489307,0.0004339417,0.9977585,0.0008860432],"study_design_scores_gemma":[0.0003062341,0.00005137658,0.000009037924,0.00004336736,0.0001843714,0.00003150303,0.000007002859,0.001065746,0.00001596341,0.00007863494,0.9975765,0.0006302854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.308227e-7,0.000001520061,0.01710267,0.00008226019,0.0009983038,0.000220371,0.9810528,0.0002668939,0.0002751066],"genre_scores_gemma":[0.000001028694,0.0002421419,0.009001146,0.003158741,0.0004481397,0.00002432897,0.9868573,0.00002527187,0.0002418992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6858606,"threshold_uncertainty_score":0.9996666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701250023279021,"score_gpt":0.237103589966024,"score_spread":0.2200910897332338,"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."}}