{"id":"W6912896722","doi":"10.5281/zenodo.6503070","title":"Study of Language-independent package management with Flatpak (Dataset)","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sample (material); R package; Replication (statistics); Data management","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007708613,0.00009114181,0.0001103114,0.0002294916,0.001606806,0.0004747008,0.001666638,0.0000100892,0.001933634],"category_scores_gemma":[0.00003404223,0.00008704127,0.00001729944,0.0005739694,0.0000301133,0.0003888024,0.003127327,0.0001586638,0.0003899791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007316907,"about_ca_system_score_gemma":0.000003056498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006852737,"about_ca_topic_score_gemma":1.668116e-7,"domain_scores_codex":[0.9984466,0.000181166,0.0002686138,0.0002516231,0.0006553512,0.0001966585],"domain_scores_gemma":[0.9989587,0.00001135559,0.0002018656,0.0006106747,0.000151487,0.00006592296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001282177,0.003686024,0.00003527723,0.0009593795,0.0004023435,0.0003762937,0.1999241,0.005667564,0.0005100741,0.1114344,0.2099478,0.4669285],"study_design_scores_gemma":[0.003840466,0.00250304,0.001075367,0.00007424279,0.00004932112,0.0005363221,0.06473727,0.02604238,0.000738758,0.0007538027,0.8989756,0.0006733921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2235045,0.00007244437,0.5436509,0.0003957896,0.000219691,0.001987549,0.000301959,0.001660679,0.2282065],"genre_scores_gemma":[0.9963889,0.000002703873,0.002532808,0.000104364,0.00001667623,1.185945e-7,0.0004202731,0.0001962688,0.0003379159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7728844,"threshold_uncertainty_score":0.999693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240907619778555,"score_gpt":0.2450714634454527,"score_spread":0.2209807014675972,"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."}}