{"id":"W7080038313","doi":"10.5281/zenodo.17054746","title":"Signal Processing Information Base (SPIB) — curated mirror & documentation","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backup; Signal processing; Documentation; Context (archaeology); Metadata; SIGNAL (programming language); Data processing; Information processing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004036655,0.002301131,0.002281723,0.009928457,0.001624818,0.00839579,0.003935443,0.002251532,0.5543156],"category_scores_gemma":[0.02512169,0.001358168,0.0009104069,0.01182385,0.0009517133,0.006455251,0.004685897,0.003335331,0.6727754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182963,"about_ca_system_score_gemma":0.005678024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005888101,"about_ca_topic_score_gemma":0.002977711,"domain_scores_codex":[0.9964578,0.0004323868,0.0006223217,0.0004441848,0.001785329,0.0002579861],"domain_scores_gemma":[0.9803582,0.002145812,0.000791719,0.006340268,0.009379352,0.0009846847],"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":[0.00004529621,0.00001491163,0.00004911206,0.00030318,0.000005812708,0.00003482061,0.00003881913,0.0001104407,0.0006540205,0.002069911,0.9595248,0.03714898],"study_design_scores_gemma":[0.00001045654,0.000008295007,0.0001186489,0.000128096,0.000003228821,0.00004354911,0.0000159128,0.0001333357,0.000607738,0.0009004824,0.9980174,0.0000128203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007801229,0.002043254,0.06578987,0.003048828,0.005736625,0.000815753,0.5801104,0.1181162,0.2235589],"genre_scores_gemma":[0.004059949,0.002800699,0.03841337,0.001619049,0.001238995,0.001053429,0.6985604,0.06344153,0.1888126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5543156,"threshold_uncertainty_score":0.6357148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209237397845377,"score_gpt":0.2519779591060394,"score_spread":0.2298855851275857,"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."}}