{"id":"W6992768955","doi":"","title":"Lyhentämisen keinot tekstiviesteissä","year":2008,"lang":"fi","type":"other","venue":"Jyväskylä University Digital Archive (University of Jyväskylä)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001139467,0.0005911269,0.0008159819,0.001976386,0.004971063,0.009885795,0.00141243,0.002227142,0.4332784],"category_scores_gemma":[0.004289422,0.0003705542,0.0004631434,0.001727017,0.001656044,0.004982761,0.005361183,0.002261908,0.1390079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004354997,"about_ca_system_score_gemma":0.005839474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02487601,"about_ca_topic_score_gemma":0.04408165,"domain_scores_codex":[0.9985003,0.0001843663,0.00006603253,0.0002704474,0.0005621481,0.0004165837],"domain_scores_gemma":[0.9976813,0.0003684929,0.0001209944,0.0003619154,0.000887452,0.0005798788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002838362,0.0001384545,0.00310181,0.0005579492,0.00001500747,0.0005487194,0.003868648,0.0001832969,0.0008473072,0.1172556,0.6946829,0.1785165],"study_design_scores_gemma":[0.000008336031,0.0000115751,0.001762349,0.00009977442,0.000005533028,0.0001118344,0.0007022099,0.00003768154,0.0002089684,0.001698446,0.9953447,0.000008602844],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004172696,0.001414214,0.001064987,0.003134734,0.0006349257,0.00004530537,0.003518432,0.0007913867,0.9852233],"genre_scores_gemma":[0.03698516,0.0009229154,0.0008203645,0.0003581244,0.0001431678,0.00006097967,0.002352268,0.0005788448,0.9577782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4332784,"threshold_uncertainty_score":0.8083596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118016981527111,"score_gpt":0.1637840552628647,"score_spread":0.1526038854475935,"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."}}