{"id":"W4398746714","doi":"10.7910/dvn/ii5jzg/s8pdzb","title":"MSP_F_70_NFL_4_44.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":[0.0003743201,0.0005909836,0.0007541211,0.0003618349,0.0001640728,0.0008140686,0.008589364,0.0003230731,0.008554167],"category_scores_gemma":[0.0004293667,0.0005785313,0.0002742753,0.0009954137,0.0001046204,0.001520465,0.004687394,0.000781425,0.6944348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073211,"about_ca_system_score_gemma":0.000344893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003209384,"about_ca_topic_score_gemma":0.0001280374,"domain_scores_codex":[0.9960139,0.0001891821,0.0005993058,0.001568111,0.001016365,0.0006130956],"domain_scores_gemma":[0.9927882,0.000124119,0.000426251,0.006079569,0.000103164,0.0004786761],"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":[0.00000689138,0.0000578418,0.000001248351,0.00007066416,0.0001586466,0.0005986237,0.00001408607,0.000005144616,0.000006385302,0.0004522474,0.9977491,0.0008790688],"study_design_scores_gemma":[0.0003060825,0.00005137214,0.000009032988,0.0000432134,0.0001843617,0.00003150242,0.000006931444,0.001074001,0.00001574222,0.00008296497,0.9975646,0.0006302444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.259822e-7,0.000001506026,0.01765708,0.00008228621,0.000997657,0.0002202363,0.9804982,0.000266735,0.0002761725],"genre_scores_gemma":[9.97387e-7,0.0002385077,0.009395678,0.003164214,0.0004469425,0.00002431625,0.9864634,0.0000252615,0.0002407235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6858806,"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."}}