{"id":"W6982171612","doi":"","title":"Hiljaiset tauot venäjänkielisten henkilöiden suomenkielisessä puheessa","year":2016,"lang":"fi","type":"other","venue":"Jyväskylä University Digital Archive (University of Jyväskylä)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population","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":[0.0002334018,0.00042844,0.0004121554,0.0004180319,0.0009386949,0.001205219,0.0003442421,0.000532765,0.02724358],"category_scores_gemma":[0.0003783739,0.0003258055,0.0005915135,0.0004736784,0.0004923965,0.001151777,0.001100013,0.001298095,0.004464763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007762142,"about_ca_system_score_gemma":0.0007900372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002124215,"about_ca_topic_score_gemma":0.005365845,"domain_scores_codex":[0.9997919,0.00001674112,0.00001287462,0.00007490716,0.00006238424,0.00004128871],"domain_scores_gemma":[0.9997488,0.00006135839,0.0000345976,0.00003243357,0.00006813604,0.00005467512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007884311,0.00008806055,0.001541122,0.0006823339,0.00004824372,0.0004545022,0.0005784597,0.0002571302,0.9450043,0.004441262,0.001205318,0.04491085],"study_design_scores_gemma":[0.00006899887,0.001173775,0.02280701,0.0001951322,0.000151002,0.00130088,0.001263628,0.0006017505,0.6928558,0.003768865,0.2757136,0.00009961719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7894877,0.0169043,0.02293537,0.001064106,0.001064421,0.0002783713,0.002877095,0.0005795652,0.1648091],"genre_scores_gemma":[0.7304065,0.008203058,0.01506349,0.000638079,0.0001174181,0.0003130255,0.003534205,0.0004471905,0.241277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02724358,"threshold_uncertainty_score":0.09113884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725247993962194,"score_gpt":0.1606418856355404,"score_spread":0.1433894056959185,"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."}}