{"id":"W7033174143","doi":"","title":"Perehdytyksen kehittäminen Suomen Terveystalo Oy:n ostoreskontrassa","year":2010,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Quarter (Canadian coin); Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001618277,0.001825046,0.001659658,0.001297933,0.0006760631,0.001373473,0.003711024,0.002062534,0.02158567],"category_scores_gemma":[0.0003607506,0.001778602,0.001012759,0.001379099,0.0006411445,0.0009768584,0.001122288,0.002893728,0.02186662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003813146,"about_ca_system_score_gemma":0.0005700917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457578,"about_ca_topic_score_gemma":0.003326147,"domain_scores_codex":[0.9913378,0.0008448109,0.001555906,0.002516804,0.001667922,0.002076694],"domain_scores_gemma":[0.9935896,0.0005220799,0.001300315,0.003053852,0.0004971671,0.001036981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001051282,0.0004750665,0.0001931354,0.0002990738,0.0003136979,0.0001523646,0.001290723,0.000003850089,0.001977842,0.001436936,0.002076049,0.9916762],"study_design_scores_gemma":[0.00157785,0.0004237079,0.001835073,0.0006781315,0.0001856812,0.0004023724,0.0001445001,0.002462459,0.0009838572,0.002152838,0.9870088,0.002144697],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00469653,0.001471373,0.0120377,0.001054703,0.009022136,0.001676619,0.0003719474,0.001453151,0.9682158],"genre_scores_gemma":[0.04071352,0.0005256215,0.002655576,0.00045084,0.003013154,0.0002306755,0.0002152501,0.0006651229,0.9515302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9895315,"threshold_uncertainty_score":0.9996632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672811899605364,"score_gpt":0.259399071672322,"score_spread":0.2326709526762683,"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."}}