{"id":"W7002446300","doi":"","title":"Nivelrikko-oppaan harjoitteluohjeiden kääntäminen arabian kielelle. Kommentoitu käännös.","year":2019,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Mercantilism","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":[0.0005874713,0.0003731877,0.0002017813,0.0005687832,0.003327263,0.003152089,0.0005260384,0.00116924,0.1248996],"category_scores_gemma":[0.0009424494,0.0002518558,0.0002661653,0.0006249883,0.0006968643,0.001232828,0.001946123,0.001278493,0.02457714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004422124,"about_ca_system_score_gemma":0.006190942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349789,"about_ca_topic_score_gemma":0.3711242,"domain_scores_codex":[0.9993025,0.00005049634,0.00002179024,0.0001292717,0.0003140394,0.0001819458],"domain_scores_gemma":[0.9995017,0.00004472503,0.00003540877,0.00002552315,0.0002599392,0.0001327048],"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":[0.0007909801,0.0003287673,0.04769006,0.0008807459,0.00004823344,0.001326562,0.01771446,0.0003684273,0.0244629,0.05248822,0.4453851,0.4085155],"study_design_scores_gemma":[0.000007162676,0.00002851091,0.02312518,0.0001198122,0.000008367879,0.0001115289,0.005928672,0.0000631744,0.001844701,0.0006537128,0.9680929,0.00001630134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09250799,0.004703832,0.001420797,0.01520688,0.002249025,0.0001503424,0.005597988,0.0003289105,0.8778342],"genre_scores_gemma":[0.1229759,0.001858877,0.002570661,0.001605411,0.00009306744,0.00008569859,0.00224686,0.0002085709,0.8683549],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1349789,"threshold_uncertainty_score":0.4178308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056928749567885,"score_gpt":0.2526234863902092,"score_spread":0.2220541988945303,"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."}}