{"id":"W4241847020","doi":"10.1190/tle35060484.1","title":"From the Other Side","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; License; Nothing; Computer science; Engineering management; Computer security; Engineering ethics; Engineering; Law; Political science; Epistemology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005634807,0.00008199863,0.0001195664,0.00004754918,0.0003954397,0.0002874327,0.002859222,0.00004235274,0.0008402669],"category_scores_gemma":[0.004141076,0.00002318707,0.00007960453,0.0004977082,0.0005821863,0.0002732973,0.0002223439,0.0001980718,0.01577688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002483109,"about_ca_system_score_gemma":0.00005044607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000172356,"about_ca_topic_score_gemma":0.00006745978,"domain_scores_codex":[0.9975639,0.0003486054,0.0002310636,0.0003172086,0.001192293,0.000346948],"domain_scores_gemma":[0.9912081,0.007710346,0.00008412368,0.0008520154,0.00006711217,0.00007831389],"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":[0.00001519532,0.000008153771,0.01008457,2.442046e-7,0.000008552079,0.000002478416,0.00343991,0.000004185864,0.03829253,0.007002964,0.6287533,0.3123879],"study_design_scores_gemma":[0.0001273444,0.000009960711,0.01474907,0.00002084492,0.000002564374,0.000001833857,0.0005829087,0.00008531098,0.005569811,0.1491571,0.8296181,0.00007512446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.68686,0.0004148553,0.004753993,0.1631791,0.001227019,0.0002308318,0.000028623,0.00007634304,0.1432292],"genre_scores_gemma":[0.9081228,0.00001573635,0.00004800807,0.002071253,0.0009748085,0.00000523813,7.616379e-8,0.000007390047,0.08875465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3123128,"threshold_uncertainty_score":0.9849895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2275827732366013,"score_gpt":0.4452152808244594,"score_spread":0.2176325075878581,"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."}}