{"id":"W4400480682","doi":"10.48550/arxiv.2407.05519","title":"GitHub Marketplace for Automation and Innovation in Software Production","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Production (economics); Software; Business; Manufacturing engineering; Industrial organization; Computer science; Software engineering; Engineering; Economics; Operating system; Microeconomics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006137657,0.0001766093,0.0001884944,0.0006084969,0.00007225713,0.0001897083,0.0004123277,0.0001853368,9.96492e-7],"category_scores_gemma":[0.0001218419,0.000207508,0.00004680415,0.001400501,0.0000272123,0.0002154625,0.000716491,0.0002760115,0.00001097771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682965,"about_ca_system_score_gemma":0.0001412033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000317977,"about_ca_topic_score_gemma":0.00001728178,"domain_scores_codex":[0.9985996,0.0000784392,0.0002403548,0.0008430281,0.00005765491,0.0001808628],"domain_scores_gemma":[0.9991065,0.00007775286,0.0001888926,0.0004219567,0.0001741438,0.00003075907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006483672,0.00009465724,0.007356558,0.002251572,0.00009376812,0.0000655783,0.001098455,0.4950772,0.00006125138,0.4761831,0.006117531,0.01153551],"study_design_scores_gemma":[0.0002399064,0.00002576698,0.002681483,0.0004203459,0.000018471,0.000007347036,0.00003102559,0.8821979,0.00003265938,0.1127509,0.001322503,0.0002717391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3326296,0.00006361929,0.665022,0.0002044716,0.001077225,0.0004477277,0.00001433539,0.0003258021,0.0002152299],"genre_scores_gemma":[0.9940939,0.00001366296,0.004419229,0.000017412,0.00009897611,0.000003834295,0.00006475302,0.0000107045,0.001277522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6614643,"threshold_uncertainty_score":0.8461932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940025555273198,"score_gpt":0.202893312828358,"score_spread":0.143493057275626,"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."}}