{"id":"W7071930457","doi":"","title":"Virolaisten suomen kielen oppijoiden myönteisen imperfektin muodostus ja -si-tunnuksen käyttö","year":2014,"lang":"fi","type":"other","venue":"Trepo - Institutional Repository of Tampere University","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Population; Quarter (Canadian coin)","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":[0.001026861,0.0003933616,0.0004491296,0.0009067091,0.002394692,0.002847415,0.0004140214,0.001011762,0.05202764],"category_scores_gemma":[0.002955371,0.0003168816,0.0005269108,0.0008800561,0.000951327,0.001848048,0.002234507,0.001878871,0.01127855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418579,"about_ca_system_score_gemma":0.003621797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007034434,"about_ca_topic_score_gemma":0.0190047,"domain_scores_codex":[0.9989195,0.0002605177,0.0001226963,0.0001530172,0.0003734311,0.0001708825],"domain_scores_gemma":[0.9985061,0.0005146161,0.000220601,0.00007904891,0.0004251888,0.0002544772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008855869,0.0005624765,0.1023228,0.002742951,0.000143002,0.008877406,0.02900117,0.0004434647,0.02532535,0.02600463,0.1362511,0.6674401],"study_design_scores_gemma":[0.00001774675,0.0002320433,0.03523449,0.001275455,0.00007023087,0.008277279,0.01658811,0.0002203823,0.005917006,0.002309213,0.9297694,0.00008879707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3609825,0.04648678,0.01448235,0.04278824,0.007925322,0.0004248858,0.002829256,0.0008878801,0.5231928],"genre_scores_gemma":[0.4819342,0.0454914,0.01611326,0.010029,0.001349456,0.0003415543,0.002992293,0.0005466102,0.4412021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05202764,"threshold_uncertainty_score":0.1740498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110119685420963,"score_gpt":0.1966493308685388,"score_spread":0.1855481340143292,"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."}}