{"id":"W4398648160","doi":"10.7910/dvn/ii5jzg/mswcyz","title":"MSP_F_150_NFL_4_13.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":[0.002467032,0.003383467,0.002897435,0.004682276,0.001666431,0.004641562,0.005377481,0.003383042,0.5353591],"category_scores_gemma":[0.01573138,0.001602896,0.001829585,0.006756138,0.001140691,0.00306693,0.004106379,0.002303615,0.4208868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756593,"about_ca_system_score_gemma":0.003470272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221721,"about_ca_topic_score_gemma":0.01695177,"domain_scores_codex":[0.998128,0.0003209903,0.0002217596,0.0005303469,0.0003731106,0.0004257316],"domain_scores_gemma":[0.9944296,0.002322825,0.0004322613,0.001079878,0.001203899,0.0005314709],"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":[0.00006083788,0.00001751287,0.0002787267,0.0007958612,0.00002386336,0.00001436057,0.00003111259,0.0001039174,0.0001121425,0.0004155875,0.9968363,0.00130978],"study_design_scores_gemma":[0.0007805373,0.00003680882,0.002150939,0.0005244189,0.0000442878,0.00006695632,0.00009221704,0.0003064009,0.0008519931,0.003031449,0.9920373,0.00007668581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006387568,0.00003241808,0.0001227459,0.00006980367,0.0000286127,0.00002036149,0.9974165,0.001376301,0.0008693889],"genre_scores_gemma":[0.0007923052,0.00007574369,0.001063481,0.0001946273,0.00002808122,0.0005468308,0.9937768,0.00163747,0.001884719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4646409,"threshold_uncertainty_score":0.6627538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687812590375511,"score_gpt":0.2369552916136089,"score_spread":0.2200771657098538,"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."}}