{"id":"W7023950838","doi":"","title":"QUEST 2.0 : Apuvälinetyytyväisyyttä arvioivan mittarin käyttöönotto ja soveltuvuus Suomessa","year":2012,"lang":"fi","type":"other","venue":"STM:n Hallinnonalan avoin julkaisuarkisto (Julkari)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Context (archaeology); Field (mathematics); Identification (biology)","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":[],"consensus_categories":[],"category_scores_codex":[0.008575041,0.0008265502,0.0008038208,0.001885765,0.001447961,0.005044643,0.00107472,0.0008493715,0.05449626],"category_scores_gemma":[0.01408577,0.0004521066,0.0009620746,0.001454332,0.0009431645,0.001567619,0.001901542,0.00142308,0.01960042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004295772,"about_ca_system_score_gemma":0.009391685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1213645,"about_ca_topic_score_gemma":0.2957312,"domain_scores_codex":[0.9955597,0.0009525864,0.0003442969,0.0004249389,0.00222993,0.0004885901],"domain_scores_gemma":[0.9797452,0.004360511,0.0006592175,0.0009743054,0.01197313,0.002287708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002293295,0.00137022,0.1338011,0.002483987,0.0001622126,0.0004113004,0.01622966,0.0008746607,0.01196353,0.009957726,0.4703245,0.3501278],"study_design_scores_gemma":[0.0003434056,0.0008672958,0.3955357,0.0009982828,0.00011535,0.0002807452,0.008359862,0.002445211,0.00635896,0.003026163,0.581367,0.0003019751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3430544,0.001426134,0.0226387,0.005726791,0.0008205053,0.008777641,0.1314347,0.009209193,0.4769119],"genre_scores_gemma":[0.4686022,0.001292787,0.07533264,0.002232438,0.0001770492,0.01190323,0.09487203,0.003414917,0.3421728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1213645,"threshold_uncertainty_score":0.2413162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600906274724145,"score_gpt":0.2610313020896156,"score_spread":0.2350222393423741,"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."}}