{"id":"W6986363188","doi":"","title":"Pianonsoiton diskursiivis-materiaalisia kytkentöjä rakentamassa","year":2012,"lang":"fi","type":"article","venue":"Jyväskylä University Digital Archive (University of Jyväskylä)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Accreditation; Polish","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003268038,0.0007623188,0.0008394597,0.0004671214,0.0006964714,0.000130508,0.001605321,0.0005406877,0.0005506708],"category_scores_gemma":[0.0001464655,0.001022961,0.0008209351,0.00052752,0.001367142,0.0004277048,0.002151202,0.0004894597,0.000532085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308188,"about_ca_system_score_gemma":0.0002831593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003204384,"about_ca_topic_score_gemma":0.0001163122,"domain_scores_codex":[0.9964082,0.0003512294,0.0004515407,0.0007768699,0.000659822,0.001352381],"domain_scores_gemma":[0.9967659,0.0001497726,0.0008272395,0.001127353,0.0002315123,0.000898205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01481497,0.009655632,0.5184537,0.004446089,0.00806943,0.0006855563,0.03665323,0.001149314,0.1326478,0.03534233,0.1586303,0.07945161],"study_design_scores_gemma":[0.005192086,0.001181614,0.05947799,0.0003307293,0.0006606845,0.0001288595,0.01892657,0.001012635,0.0016335,0.0001930062,0.9093152,0.001947156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8392587,0.0004371071,0.02627454,0.000704815,0.001065281,0.0008436483,0.004289008,0.0001430509,0.1269838],"genre_scores_gemma":[0.9719307,0.0006606804,0.004544749,0.00009561183,0.0003234024,1.547921e-7,0.002230677,0.00007290275,0.02014109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7506849,"threshold_uncertainty_score":0.9992221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004936016825154133,"score_gpt":0.1790096298657542,"score_spread":0.1740736130406,"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."}}