{"id":"W7071493105","doi":"","title":"Terijoki Suomen Riviera","year":2012,"lang":"fi","type":"other","venue":"Doria (University of Helsinki)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Riviera; Quarter (Canadian coin); Line (geometry); Work (physics)","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":[0.0002730433,0.0004372655,0.0005583692,0.0002024623,0.0001801094,0.00002289392,0.0007961796,0.0009724273,0.01012548],"category_scores_gemma":[0.00003823078,0.000545055,0.0003091078,0.0001590596,0.00036989,0.00001547572,0.0005997026,0.0003994295,0.001052169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005633943,"about_ca_system_score_gemma":0.0001463829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002598142,"about_ca_topic_score_gemma":0.0001332689,"domain_scores_codex":[0.9983855,0.0001356607,0.0002534368,0.0003969307,0.0002956269,0.0005328038],"domain_scores_gemma":[0.9981625,0.00001948476,0.0006394078,0.0008474209,0.0001091548,0.0002220454],"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":[0.001442544,0.001844681,0.02969635,0.0065728,0.006202327,0.0001292684,0.01137016,0.0002096978,0.07016991,0.006750149,0.6412755,0.2243367],"study_design_scores_gemma":[0.0009205009,0.0002597511,0.001416973,0.0001426018,0.0002061523,0.00001734132,0.0004911337,0.000175994,0.0004281875,0.00001794717,0.9953641,0.0005593667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02390035,0.002712365,0.004817382,0.0004834185,0.002500801,0.0006019253,0.0004115653,0.00006023474,0.964512],"genre_scores_gemma":[0.08734778,0.001673235,0.008818327,0.0001274932,0.001047213,4.233056e-7,0.001131435,0.0001910308,0.899663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3540886,"threshold_uncertainty_score":0.9997256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005587193254959319,"score_gpt":0.1980457718268817,"score_spread":0.1924585785719224,"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."}}