{"id":"W4398712826","doi":"10.7910/dvn/ii5jzg/wflpsf","title":"MSP_F_150_NFL_4_30.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":[0.0003829019,0.0006054449,0.000765823,0.0003703574,0.000166838,0.0008258717,0.008737612,0.0003306268,0.00882159],"category_scores_gemma":[0.0004390898,0.0005926289,0.0002779581,0.001028521,0.0001099959,0.001514128,0.004902916,0.0008002279,0.7010665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068981,"about_ca_system_score_gemma":0.0003477364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002981571,"about_ca_topic_score_gemma":0.0001387711,"domain_scores_codex":[0.9959199,0.0001902512,0.0006188711,0.001602915,0.001038929,0.0006291312],"domain_scores_gemma":[0.9926568,0.0001225825,0.0004339505,0.006190026,0.000106627,0.0004900668],"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":[0.000006857868,0.00005895803,0.000001438759,0.00007312472,0.0001585711,0.000586005,0.00001573268,0.000004485407,0.000007506896,0.0004287784,0.9977793,0.0008792607],"study_design_scores_gemma":[0.0003001484,0.00005361481,0.000007968743,0.00004489271,0.0001850085,0.00003164602,0.000007139949,0.0009092054,0.00002373799,0.00007924459,0.9977116,0.0006457996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.565715e-7,0.000001631603,0.01561003,0.00007653455,0.001019244,0.0002225815,0.982531,0.0002733726,0.0002654418],"genre_scores_gemma":[0.0000010709,0.0002435252,0.009397697,0.003252693,0.00043772,0.00002660843,0.9863763,0.00002600721,0.0002383719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6922449,"threshold_uncertainty_score":0.9996525,"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."}}