{"id":"W4398676201","doi":"10.7910/dvn/ii5jzg/nywbyv","title":"MSP_F_20_NFL_4_19.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Geology","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":[0.001249987,0.002484059,0.001531431,0.004716404,0.0008723684,0.004200315,0.003191714,0.002582532,0.4038428],"category_scores_gemma":[0.01065063,0.000987108,0.00129162,0.008466973,0.0006150327,0.002678279,0.003315923,0.001796874,0.380152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889651,"about_ca_system_score_gemma":0.002414994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02809544,"about_ca_topic_score_gemma":0.03794368,"domain_scores_codex":[0.9985689,0.0002063657,0.0001732607,0.0003372328,0.0003324419,0.0003818414],"domain_scores_gemma":[0.9961411,0.0009966469,0.0003974491,0.0007966144,0.001175027,0.0004931389],"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":[0.00002507939,0.000009813694,0.0003428605,0.0002738472,0.000009861674,0.000005865247,0.00001121968,0.00006807112,0.00002753106,0.0002831289,0.9981201,0.0008225064],"study_design_scores_gemma":[0.0003050189,0.00001862483,0.003440438,0.000332646,0.00001541642,0.00002904841,0.00009500612,0.000219926,0.0002110931,0.001185916,0.994115,0.00003188333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003707309,0.00001834479,0.00001904674,0.00005384702,0.00001807623,0.00000467081,0.9990043,0.0002104118,0.000634302],"genre_scores_gemma":[0.0003017469,0.00003884261,0.0001396015,0.00007491665,0.00001649717,0.00006047347,0.9978192,0.0001610806,0.001387652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5961572,"threshold_uncertainty_score":0.8503458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266678251959321,"score_gpt":0.2127360703839758,"score_spread":0.1800692878643826,"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."}}