{"id":"W4398450416","doi":"10.7910/dvn/ii5jzg/zsvhsp","title":"MSP_F_70_NFL_4_42.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":[0.0003658923,0.0005892086,0.0007588866,0.0003618832,0.000159665,0.0008211153,0.008558824,0.0003223021,0.008435098],"category_scores_gemma":[0.0004431937,0.0005770771,0.0002728701,0.000993196,0.0001088303,0.001506298,0.004594738,0.0007944523,0.6937612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070117,"about_ca_system_score_gemma":0.0003424211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261102,"about_ca_topic_score_gemma":0.0001229536,"domain_scores_codex":[0.9960275,0.0001879348,0.0005967094,0.001564684,0.001012447,0.000610676],"domain_scores_gemma":[0.9927831,0.0001260479,0.0004313328,0.006080584,0.0001029069,0.0004760638],"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":[0.000006866787,0.0000577368,0.000001243169,0.00006941448,0.0001588617,0.000592086,0.00001460928,0.000005316905,0.00000625791,0.0004155357,0.9977223,0.0009498174],"study_design_scores_gemma":[0.000301997,0.00005202172,0.000008533356,0.0000440014,0.000183545,0.0000312832,0.000007511182,0.001106735,0.00001519009,0.00007821762,0.9975422,0.0006287469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.375708e-7,0.000001510095,0.01768423,0.0000839339,0.0009784186,0.0002183896,0.9805019,0.0002664119,0.000265072],"genre_scores_gemma":[0.000001057667,0.0002444969,0.00937073,0.003312823,0.000439567,0.00002425654,0.9863508,0.00002523653,0.0002309701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.685326,"threshold_uncertainty_score":0.9996681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701250023279021,"score_gpt":0.237103589966024,"score_spread":0.2200910897332338,"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."}}