{"id":"W4398729795","doi":"10.7910/dvn/ii5jzg/zcmtl5","title":"MSP_F_70_NFL_4_7.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":[0.0003638407,0.0005811674,0.0007416768,0.0003567371,0.0001621416,0.0008003092,0.008509731,0.0003177492,0.008590922],"category_scores_gemma":[0.0004160464,0.0005689283,0.0002733181,0.0009833017,0.0001050536,0.00150046,0.004655625,0.0007687121,0.6999337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043848,"about_ca_system_score_gemma":0.0003334739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003179996,"about_ca_topic_score_gemma":0.000125105,"domain_scores_codex":[0.9960784,0.0001823728,0.0005886875,0.001546171,0.001002262,0.0006021071],"domain_scores_gemma":[0.992873,0.0001187291,0.0004191013,0.006017585,0.0001005158,0.0004710737],"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":[0.000006780583,0.00005745748,0.000001243097,0.00006938205,0.0001578377,0.000585038,0.00001385685,0.000005032631,0.000006005916,0.0004578795,0.9978089,0.0008305255],"study_design_scores_gemma":[0.000300615,0.00005087355,0.000008804978,0.00004244783,0.0001827477,0.00003101697,0.000006730593,0.001038364,0.00001527801,0.00008141325,0.9976218,0.0006198556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.315237e-7,0.000001472981,0.01607221,0.00007905513,0.001001151,0.0002145366,0.9820935,0.0002631899,0.0002747769],"genre_scores_gemma":[0.00000101402,0.000233093,0.00866568,0.003050597,0.0004374899,0.0000232802,0.9873163,0.00002491597,0.0002476951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6913428,"threshold_uncertainty_score":0.9996762,"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."}}