{"id":"W6930159861","doi":"10.5281/zenodo.12144537","title":"Unravel me becka mack pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Staring; TSG101; Gloom; Filter (signal 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":["insufficient_payload"],"category_scores_codex":[0.0007309553,0.001569002,0.0007987049,0.002093558,0.00162835,0.007684381,0.001490449,0.001904193,0.8503746],"category_scores_gemma":[0.004655176,0.0007073096,0.0009849464,0.001320336,0.0007703063,0.007600638,0.004071323,0.002783478,0.7992306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072926,"about_ca_system_score_gemma":0.001376653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606351,"about_ca_topic_score_gemma":0.003386731,"domain_scores_codex":[0.999298,0.00004893681,0.00003525008,0.00009968725,0.0004254598,0.00009264867],"domain_scores_gemma":[0.9975854,0.0002638114,0.00009335853,0.000325657,0.001042806,0.0006889786],"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":[0.00003593224,0.00001968709,0.00005202803,0.0001317188,0.000001978287,0.00008929212,0.00004714335,0.00003371661,0.0004448488,0.001365334,0.9442389,0.05353939],"study_design_scores_gemma":[0.000005387552,0.00001063276,0.0001222622,0.00005616261,0.000001654364,0.0001110523,0.00003759656,0.00003010934,0.000216258,0.0004483862,0.9989543,0.000006099252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007171267,0.002227156,0.004127486,0.004652728,0.009686886,0.0002600095,0.004064997,0.01490348,0.9593601],"genre_scores_gemma":[0.001966178,0.00117748,0.001251296,0.001378169,0.001218386,0.00006083566,0.001325567,0.003393954,0.9882281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1496254,"threshold_uncertainty_score":0.2134224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197470759588548,"score_gpt":0.2508860078358982,"score_spread":0.2189113002400127,"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."}}