{"id":"W6893232397","doi":"10.5281/zenodo.14750769","title":"liveCompress","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; dPoint Technologies (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007508651,0.001788305,0.0009016671,0.001877044,0.001364484,0.003800905,0.002382781,0.001709503,0.724797],"category_scores_gemma":[0.001380874,0.0006391141,0.000763668,0.001009523,0.0005439537,0.002412635,0.002930919,0.001717156,0.6943683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009159322,"about_ca_system_score_gemma":0.00111164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365022,"about_ca_topic_score_gemma":0.005274637,"domain_scores_codex":[0.9993655,0.00006289552,0.00001698941,0.0001582548,0.0002632774,0.0001330847],"domain_scores_gemma":[0.9991098,0.00009186286,0.00003082919,0.0002928643,0.0002053233,0.0002692851],"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":[0.0001180368,0.00006572749,0.00008481113,0.0001004556,0.000007704124,0.00003533698,0.00003405283,0.0002720121,0.001929565,0.01233451,0.9176335,0.06738437],"study_design_scores_gemma":[0.00002919384,0.00001685395,0.0001056312,0.00002287074,0.000005153108,0.00004289908,0.00001376546,0.0008641878,0.001555128,0.003628534,0.9937043,0.0000115238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001000679,0.0003845914,0.01859176,0.0006094973,0.0007624837,0.000159768,0.01896668,0.05570431,0.9038203],"genre_scores_gemma":[0.005383266,0.0002039068,0.005927022,0.0004337365,0.0001411147,0.0001465851,0.02344179,0.0107917,0.9535309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.275203,"threshold_uncertainty_score":0.3925436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02887070835769743,"score_gpt":0.2540870802126293,"score_spread":0.2252163718549318,"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."}}