{"id":"W7132755046","doi":"","title":"METIS mirror M0 EQM","year":2016,"lang":"en","type":"article","venue":"ASEP","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Metis; Interpretation (philosophy); Element (criminal law); Theme (computing); Relation (database)","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":[0.00005723703,0.0000631934,0.0000699146,0.00001461003,0.00001485464,0.000007737813,0.0000615028,0.00003100247,0.000681864],"category_scores_gemma":[0.00003338283,0.00004101726,0.00002749413,0.00004734666,0.00001043826,0.00006056552,0.000009660996,0.00002638433,0.0009968745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000245983,"about_ca_system_score_gemma":0.000002743234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008635325,"about_ca_topic_score_gemma":0.00001228606,"domain_scores_codex":[0.9995877,0.000006174039,0.0000730896,0.00007457344,0.0001031293,0.0001553401],"domain_scores_gemma":[0.9997597,0.0000335537,0.000004698039,0.0001297088,0.00001408746,0.00005829984],"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":[0.00002178593,0.0000936934,0.01683626,0.0000983846,0.0002452736,0.00005280874,0.0001593421,0.0001270123,0.3917423,0.004720947,0.0210486,0.5648536],"study_design_scores_gemma":[0.001763569,0.00008327926,0.07432234,0.0002019454,0.00005365047,0.000005377241,0.00003732719,0.001024492,0.2652016,0.002209144,0.6543594,0.0007378419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516965,0.0005514718,0.005959475,0.0005514229,0.0009968088,0.0001200364,0.00001563901,0.0004507551,0.03965796],"genre_scores_gemma":[0.9977952,0.00002619127,0.001623997,0.00003645336,0.00002347441,0.000009158209,5.46374e-7,0.0000160753,0.0004689593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6333108,"threshold_uncertainty_score":0.999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287648239319093,"score_gpt":0.1881542184456995,"score_spread":0.1752777360525086,"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."}}