{"id":"W6893465930","doi":"10.5281/zenodo.16095673","title":"Brachypotherium brachypus","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Product (mathematics); Identification (biology); Work (physics); Term (time)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007107225,0.0002044374,0.0001751486,0.0003262426,0.00188875,0.004791661,0.001978203,0.00008826792,0.009181129],"category_scores_gemma":[0.0004208934,0.0002468509,0.00008632366,0.00129988,0.0002308364,0.001611294,0.002045753,0.0002664799,0.01418565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334167,"about_ca_system_score_gemma":0.00001569534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004535812,"about_ca_topic_score_gemma":4.991473e-7,"domain_scores_codex":[0.9975756,0.0004891343,0.000381258,0.0006116427,0.0003675401,0.0005747784],"domain_scores_gemma":[0.9983141,0.00004948817,0.0001197198,0.0007091903,0.0006221434,0.000185386],"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":[0.00001460404,0.0001337135,0.000001544942,0.00007423836,0.00003702486,0.00001147877,0.0006545102,0.00001366566,0.001366883,0.1888149,0.3203052,0.4885723],"study_design_scores_gemma":[0.0005453522,0.0002628969,0.0005498223,0.00009131378,0.00001858518,0.00009856376,0.0001483249,0.003223964,0.001045029,0.005369362,0.9884266,0.0002201711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007039438,0.0008130212,0.4063409,0.01196871,0.001262031,0.0005071094,0.0002062026,0.0008341059,0.5773639],"genre_scores_gemma":[0.629245,0.0006403146,0.01141327,0.008077773,0.0008997652,1.96335e-7,0.002862596,0.003387401,0.3434737],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6681215,"threshold_uncertainty_score":0.9999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629421418649367,"score_gpt":0.2803680179780595,"score_spread":0.2174258761131229,"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."}}