{"id":"W6930617535","doi":"10.5281/zenodo.12819695","title":"buy fake USD / Buy fake cad (WHATSAPP : +1(725) 867-9567) Buy clone cards online, buy fake currency, buy counterfeit money, buy high-quality fake bills","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Liberian dollar; Currency; Cash; Clothing; Product (mathematics)","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","insufficient_payload"],"category_scores_codex":[0.001503994,0.001633633,0.001601775,0.001377787,0.001091195,0.002182228,0.003590005,0.001049387,0.03635712],"category_scores_gemma":[0.000665781,0.001573926,0.0005276088,0.001902057,0.0005724347,0.0004557691,0.002348961,0.002643979,0.03607477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008246843,"about_ca_system_score_gemma":0.00005995173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503863,"about_ca_topic_score_gemma":0.0001449914,"domain_scores_codex":[0.9909586,0.0007330361,0.00178023,0.00237415,0.002179043,0.001974944],"domain_scores_gemma":[0.9946913,0.00009390902,0.0005192254,0.002756295,0.00101246,0.0009267874],"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":[0.00007520217,0.0004571309,0.00001471708,0.002156276,0.0009125277,0.0002529342,0.001374506,0.0025816,0.002295967,0.002842263,0.9251283,0.06190854],"study_design_scores_gemma":[0.0007139573,0.0002939563,0.0002248722,0.0009236503,0.0002151004,0.0001232789,0.0003756741,0.002391878,0.0006188424,0.0002162289,0.9920641,0.001838525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01114363,0.01994181,0.05779401,0.002070329,0.01271873,0.00762462,0.04411031,0.02363965,0.8209569],"genre_scores_gemma":[0.2219464,0.01981633,0.00235244,0.0007453592,0.007184581,0.000008669695,0.02987964,0.05309389,0.6649727],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2108028,"threshold_uncertainty_score":0.999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03886882292893359,"score_gpt":0.2716543906421358,"score_spread":0.2327855677132022,"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."}}