{"id":"W4398384912","doi":"10.7910/dvn/ii5jzg/qguzl9","title":"MSP_F_150_NFL_4_41.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":"Psychology","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":[0.00240667,0.003361714,0.002837268,0.004713573,0.001634518,0.004490448,0.00515078,0.003347188,0.5332823],"category_scores_gemma":[0.01575094,0.001553837,0.001764063,0.006796679,0.001131033,0.003005517,0.004003578,0.002276941,0.4167064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756167,"about_ca_system_score_gemma":0.003412701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213478,"about_ca_topic_score_gemma":0.01668791,"domain_scores_codex":[0.9981819,0.0003136592,0.0002170121,0.0005104091,0.0003614232,0.0004155455],"domain_scores_gemma":[0.9943603,0.00239691,0.000436615,0.001071471,0.001205936,0.0005288879],"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":[0.00005921397,0.00001776106,0.0002802783,0.0008150325,0.0000225744,0.00001426283,0.00003065966,0.0001048581,0.0001113563,0.0004101351,0.9968219,0.00131194],"study_design_scores_gemma":[0.0007699929,0.00003757789,0.002175286,0.0005376142,0.00004284575,0.00006826201,0.00009428739,0.0003042624,0.0008277931,0.002886962,0.9921802,0.00007495491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006241283,0.00003263707,0.0001124461,0.00006794169,0.00002743608,0.00001980585,0.9976293,0.001223816,0.0008241358],"genre_scores_gemma":[0.0007761413,0.00007719333,0.001001712,0.0001879179,0.00002695598,0.0005363656,0.9941359,0.001465402,0.001792403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4667177,"threshold_uncertainty_score":0.6657161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689064407718472,"score_gpt":0.237007039740327,"score_spread":0.2201163956631423,"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."}}