{"id":"W7135602123","doi":"","title":"METIS mirror M0 FM","year":2016,"lang":"en","type":"report","venue":"Digital Repository (National Repository of Grey Literature)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Metis; Numbering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003775622,0.0009866036,0.0006589122,0.002513215,0.001289597,0.004278966,0.002003209,0.00240487,0.3365281],"category_scores_gemma":[0.01456491,0.0006702042,0.000538533,0.0009380101,0.0009117736,0.003060727,0.002722718,0.001407065,0.2518297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342889,"about_ca_system_score_gemma":0.004330274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005617782,"about_ca_topic_score_gemma":0.003231796,"domain_scores_codex":[0.9940259,0.0006297426,0.000250069,0.0005201071,0.004275553,0.0002986313],"domain_scores_gemma":[0.9935542,0.0007731084,0.0003869029,0.00121255,0.003649051,0.0004241861],"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":[0.0005610085,0.0001373262,0.001269412,0.0007538999,0.00001553245,0.0002723701,0.0004156338,0.0003991353,0.01195535,0.02208272,0.7756259,0.1865117],"study_design_scores_gemma":[0.00006147831,0.0001910754,0.002764664,0.0002348616,0.0000101752,0.0004660746,0.0001580841,0.0006895103,0.009775224,0.002249864,0.983375,0.00002403231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007244801,0.0006139857,0.01161314,0.001945065,0.00146378,0.0009094792,0.0193923,0.01158855,0.9452288],"genre_scores_gemma":[0.05867608,0.0007840379,0.02269567,0.0006866404,0.0004091975,0.001096032,0.0280945,0.006927968,0.88063],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3365281,"threshold_uncertainty_score":0.9463621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209067509499614,"score_gpt":0.2834581564446811,"score_spread":0.261367481349685,"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."}}