{"id":"W7024214156","doi":"","title":"Rahanpesun sääntelyn haasteet: Painopisteenä itsepesun kriminalisointi","year":2012,"lang":"fi","type":"other","venue":"Osuva (University of Vaasa)","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Work (physics)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009996069,0.0009113646,0.001268847,0.0009833612,0.0004432886,0.0001368147,0.004147844,0.0008609657,0.01897804],"category_scores_gemma":[0.00005600351,0.001207019,0.0006659335,0.0009438436,0.0008507942,0.001329812,0.001885148,0.0007586572,0.003244086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439263,"about_ca_system_score_gemma":0.0003215656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348143,"about_ca_topic_score_gemma":0.0003454158,"domain_scores_codex":[0.9952548,0.000487015,0.0005035562,0.001338388,0.001144495,0.001271715],"domain_scores_gemma":[0.9954287,0.0001580578,0.001339182,0.002257383,0.0003783719,0.0004383447],"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":[0.0002573162,0.001782746,0.0009537142,0.002293719,0.001044748,0.0006319496,0.0126426,0.000006769987,0.005010429,0.05296057,0.5353312,0.3870842],"study_design_scores_gemma":[0.001150031,0.000620708,0.001417837,0.001276476,0.0003861157,0.00004075867,0.0008643409,0.0008602751,0.003314633,0.0003883887,0.9881626,0.001517821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005169146,0.001636234,0.4304585,0.00115374,0.001307199,0.0009184133,0.00009306091,0.0006109072,0.5633051],"genre_scores_gemma":[0.0374315,0.0008237887,0.1183361,0.0002760903,0.000528998,0.000002084893,0.00007469665,0.0002429675,0.8422837],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4528314,"threshold_uncertainty_score":0.999038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302802890000315,"score_gpt":0.2170809899553708,"score_spread":0.1940529610553676,"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."}}