{"id":"W4398607022","doi":"10.7910/dvn/ii5jzg/saqbea","title":"MSP_F_20_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002484896,0.003330114,0.002763598,0.004687407,0.001609301,0.004497045,0.005153747,0.003285416,0.5177938],"category_scores_gemma":[0.01598038,0.001543398,0.001796478,0.006695372,0.001116533,0.002976835,0.004033945,0.002276268,0.402288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768465,"about_ca_system_score_gemma":0.003462181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227562,"about_ca_topic_score_gemma":0.0170405,"domain_scores_codex":[0.9981006,0.0003318803,0.0002244749,0.0005284802,0.0003875063,0.0004270431],"domain_scores_gemma":[0.9943586,0.002367685,0.0004361795,0.001073874,0.001234451,0.0005291777],"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":[0.00005993347,0.00001746192,0.0002880732,0.0008041571,0.00002385046,0.00001459715,0.00003171359,0.0001076692,0.0001158951,0.0004390588,0.9967754,0.001322235],"study_design_scores_gemma":[0.0007211446,0.00003549072,0.002131373,0.0005052406,0.00004215447,0.00006696731,0.00008905576,0.0003049091,0.000813547,0.00282375,0.9923924,0.0000739518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006641232,0.00003315302,0.0001238902,0.00007075565,0.00002878679,0.00002030196,0.9974656,0.001338736,0.0008523153],"genre_scores_gemma":[0.0007894174,0.00007618308,0.001082577,0.0001912171,0.00002688521,0.000537227,0.9939561,0.001555794,0.001784577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4822062,"threshold_uncertainty_score":0.6878086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701795712211267,"score_gpt":0.2371250473869411,"score_spread":0.2201070902648284,"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."}}