{"id":"W6969122916","doi":"10.5446/20211","title":"Terminal Whispering","year":2015,"lang":"en","type":"other","venue":"TIB KMO / FLOWWORKS GmbH","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Python (programming language); Terminal (telecommunication); Unix; Advice (programming); Scripting language; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004735478,0.0009232776,0.0009483318,0.0006993991,0.00007476911,0.0001471794,0.0009591246,0.001111846,0.02818685],"category_scores_gemma":[0.00009742907,0.0009213153,0.0002102078,0.0006024664,0.0002104837,0.0001186325,0.0003427977,0.001046477,0.1138224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014768,"about_ca_system_score_gemma":0.0002675617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002483116,"about_ca_topic_score_gemma":0.0008107065,"domain_scores_codex":[0.9964955,0.0001254945,0.000449885,0.0009537942,0.0009467129,0.001028628],"domain_scores_gemma":[0.997474,0.00003380678,0.0003607136,0.00153473,0.0001034164,0.0004933466],"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":[0.00003962269,0.00006858825,0.00007425176,0.00009029159,0.0001414497,0.0002808862,0.0001574672,0.00002267765,0.00009360472,0.00005274295,0.9942738,0.004704593],"study_design_scores_gemma":[0.0007265784,0.00004758864,0.00003632584,0.0008502296,0.0001475929,0.0001107895,0.00003388054,0.0002222454,0.0000209493,0.00005250562,0.9966965,0.00105482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001134139,0.004642433,0.0001165925,0.00004168775,0.001956073,0.0005322025,0.0004138672,0.002374099,0.9898096],"genre_scores_gemma":[0.0005789685,0.00005035048,0.001805289,0.0001235536,0.004624966,0.00005253017,0.0004675477,0.005159466,0.9871373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08563554,"threshold_uncertainty_score":0.9993237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969532443214879,"score_gpt":0.2693205594690318,"score_spread":0.249625235036883,"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."}}