{"id":"W6949572441","doi":"10.5281/zenodo.16746236","title":"Zele deceptor","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vein; Sternum; Margin (machine learning); China; Shot (pellet)","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":[0.000083367,0.0006922666,0.0003400808,0.001544723,0.001093669,0.0004039049,0.0004852377,0.0003360269,0.03010013],"category_scores_gemma":[0.0002701858,0.0001795213,0.0002198678,0.0006795582,0.0003654714,0.0009885009,0.000918783,0.000588325,0.01013662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871889,"about_ca_system_score_gemma":0.0002579395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006926436,"about_ca_topic_score_gemma":0.01552161,"domain_scores_codex":[0.999851,0.00001191049,0.00001134501,0.00004073746,0.00005528487,0.00002969657],"domain_scores_gemma":[0.9999011,0.00001113651,0.00003554769,0.00001506798,0.00002286661,0.0000142784],"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":[0.0008437482,0.0000730586,0.0224077,0.001053273,0.00009271133,0.002060866,0.001348508,0.0007578552,0.06495053,0.0134158,0.0486055,0.8443904],"study_design_scores_gemma":[0.00008129942,0.0002200658,0.20592,0.0003305873,0.00007377835,0.00712483,0.0009377794,0.0004501191,0.006174835,0.002897641,0.7757417,0.00004724296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2580731,0.02127108,0.009976193,0.0009215773,0.0007245825,0.0003195572,0.01189534,0.001580376,0.6952382],"genre_scores_gemma":[0.8475732,0.003507294,0.005319982,0.0007134514,0.00011993,0.00009498579,0.007233119,0.0001503178,0.1352878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03010013,"threshold_uncertainty_score":0.100695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07035457378047799,"score_gpt":0.2633681531210503,"score_spread":0.1930135793405723,"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."}}