{"id":"W4398572726","doi":"10.7910/dvn/ii5jzg/cus1kg","title":"MSP_F_150_NFL_4_17.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003834762,0.0006065226,0.0007693839,0.0003660991,0.0001680159,0.0008399597,0.008735029,0.0003319149,0.008785738],"category_scores_gemma":[0.0004449157,0.0005933483,0.0002783458,0.001016529,0.0001101839,0.001525104,0.004917032,0.0008049686,0.6989846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077457,"about_ca_system_score_gemma":0.0003479283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003331938,"about_ca_topic_score_gemma":0.0001310788,"domain_scores_codex":[0.9959059,0.0001901846,0.0006232627,0.001601587,0.001048124,0.0006309478],"domain_scores_gemma":[0.9926315,0.0001249172,0.0004370944,0.006208765,0.0001064555,0.0004912642],"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":[0.000006786944,0.00005900439,0.000001478966,0.00007274483,0.0001603921,0.000577088,0.00001546964,0.000004799636,0.000006457177,0.0003930732,0.9978655,0.0008372152],"study_design_scores_gemma":[0.0003013212,0.00005300745,0.000009510602,0.00004504488,0.0001848089,0.00003128763,0.000007350996,0.0009494843,0.00001887565,0.00007569846,0.997677,0.000646613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.398092e-7,0.000001655981,0.01619038,0.00007923821,0.001029851,0.0002233595,0.9819293,0.0002736736,0.0002723862],"genre_scores_gemma":[0.000001026908,0.0002507548,0.009438345,0.00327773,0.0004452361,0.00002665533,0.9862933,0.00002595708,0.0002409682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6901989,"threshold_uncertainty_score":0.9996518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686732385882823,"score_gpt":0.2369946996766593,"score_spread":0.220127375817831,"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."}}