{"id":"W2944024971","doi":"10.48550/arxiv.1905.05116","title":"Petabytes to Science","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"High Energy Physics; Office of Science; Kavli Foundation; U.S. Department of Energy","keywords":"Petabyte; Computer science; Data mining; Big data","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.005694348,0.0007279689,0.0006323421,0.0034598,0.003199287,0.0140887,0.001339998,0.002083158,0.16859],"category_scores_gemma":[0.03556348,0.000505977,0.0005069507,0.006895588,0.002595667,0.02288263,0.007137587,0.005945078,0.06606199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003279184,"about_ca_system_score_gemma":0.003376792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058864,"about_ca_topic_score_gemma":0.002255857,"domain_scores_codex":[0.9954336,0.001172616,0.00026207,0.0006786237,0.002127674,0.0003254123],"domain_scores_gemma":[0.9808187,0.005936562,0.0007085453,0.006303147,0.003345065,0.002887957],"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":[0.000039472,0.00001172069,0.00029979,0.0001163819,0.000007288826,0.00003517922,0.0002652415,0.00007709015,0.0002248201,0.1242578,0.8193131,0.05535199],"study_design_scores_gemma":[0.000001888225,0.000002900177,0.0001222256,0.00004334904,0.000001060407,0.00003155891,0.00007662992,0.00004563514,0.00008157898,0.01170438,0.9878856,0.000003117109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003697682,0.04247267,0.0251077,0.3256909,0.06611902,0.00009001735,0.01073826,0.006496389,0.5195873],"genre_scores_gemma":[0.08681814,0.05980828,0.02751827,0.06641842,0.04499521,0.0003945857,0.01958156,0.0110743,0.6833913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.99866,"threshold_uncertainty_score":0.5639896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200391289578873,"score_gpt":0.2626425860806819,"score_spread":0.06225129650180886,"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."}}