{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752667,0.0008967949,0.0005562283,0.001490062,0.003253306,0.01147871,0.001342725,0.001810605,0.1092687],"category_scores_gemma":[0.002912104,0.0005400273,0.0008067899,0.001319154,0.002791772,0.006690496,0.005169381,0.003134507,0.04719706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003306245,"about_ca_system_score_gemma":0.003597581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001754504,"about_ca_topic_score_gemma":0.004144037,"domain_scores_codex":[0.998486,0.0002003991,0.00008790656,0.0003034337,0.000722151,0.0002000918],"domain_scores_gemma":[0.9983428,0.0002620783,0.0001301116,0.0003207769,0.0005908132,0.0003535653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003570511,0.0002577923,0.002099306,0.002836749,0.0000769926,0.001027871,0.01372678,0.0009497616,0.03591131,0.4447737,0.1413014,0.3566813],"study_design_scores_gemma":[0.000007839151,0.00003810238,0.0007748465,0.000283696,0.00001586418,0.0003121225,0.00167975,0.0001739382,0.003810564,0.0143516,0.9785265,0.00002516066],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02967534,0.01982062,0.02565325,0.01236086,0.007444819,0.0002600225,0.0007632172,0.001429873,0.9025921],"genre_scores_gemma":[0.1248698,0.01599021,0.01865891,0.001519365,0.001163369,0.0002328916,0.000808363,0.001266126,0.8354909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1092687,"threshold_uncertainty_score":0.3655402,"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."}}