{"id":"W4398441720","doi":"10.7910/dvn/ii5jzg/vnbxn3","title":"MSP_F_50_NFL_4_28.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002438249,0.003298825,0.002770457,0.004650137,0.001619053,0.004364835,0.005126921,0.003180808,0.5043094],"category_scores_gemma":[0.01507938,0.001533085,0.001777461,0.006590664,0.00111188,0.002898787,0.003883597,0.002258619,0.4074325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170162,"about_ca_system_score_gemma":0.0033145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185719,"about_ca_topic_score_gemma":0.01663605,"domain_scores_codex":[0.9981601,0.0003260942,0.0002164994,0.0005131789,0.0003703471,0.0004138986],"domain_scores_gemma":[0.9947011,0.002181811,0.000405219,0.001068557,0.001145096,0.0004981941],"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":[0.00006061495,0.0000178916,0.0002811261,0.0007736016,0.00002338082,0.0000140997,0.00003048917,0.000106286,0.0001224715,0.000420432,0.9968189,0.00133059],"study_design_scores_gemma":[0.000729061,0.00003615168,0.002138995,0.0004972586,0.00004209467,0.00006506017,0.00008764461,0.0003071785,0.0008841832,0.002751067,0.9923881,0.00007317975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006854258,0.00003337808,0.0001261112,0.00006630879,0.00002849386,0.00002065022,0.9973649,0.001411985,0.00087955],"genre_scores_gemma":[0.0007640544,0.0000724596,0.001032463,0.000174766,0.00002494036,0.0005074147,0.9941301,0.001561325,0.001732522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4956906,"threshold_uncertainty_score":0.7070426,"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."}}