{"id":"W6968548573","doi":"10.5281/zenodo.16641469","title":"PaleoIPSL/PyAnalySeries: v5.22","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Work (physics); Context (archaeology); Process (computing)","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":[0.0002850761,0.0002850404,0.0002992137,0.0005445398,0.002038692,0.004169618,0.001265786,0.0001177972,0.5075164],"category_scores_gemma":[0.0002311768,0.000285836,0.0001389417,0.0001326256,0.0004210483,0.0002696909,0.0008959913,0.000402847,0.02017309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008494576,"about_ca_system_score_gemma":0.000007216526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001293007,"about_ca_topic_score_gemma":0.000032728,"domain_scores_codex":[0.9982811,0.0001621777,0.0002855789,0.0004766546,0.0003898208,0.0004047017],"domain_scores_gemma":[0.9986915,0.00001978373,0.0001664095,0.0005952971,0.0003935574,0.0001334534],"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":[0.00001208484,0.00005319658,1.248013e-7,0.0001130627,0.0001062098,0.00001059207,0.001429158,3.418553e-7,0.000001705355,0.2073911,0.7718169,0.01906552],"study_design_scores_gemma":[0.0002117825,0.0001039409,0.000003322142,0.0001685141,0.0000461123,0.000006847059,0.001704765,0.000003665719,0.000002836202,0.0009892428,0.9964551,0.0003038267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000185002,0.0004315587,0.00006409433,0.000197456,0.000391513,0.0003329434,0.00162408,0.001760385,0.9951795],"genre_scores_gemma":[0.004342931,0.000164998,0.00001997271,0.00031429,0.0009588911,6.033645e-8,0.003496145,0.005331073,0.9853716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4873434,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05505182173833953,"score_gpt":0.2366273174929144,"score_spread":0.1815754957545749,"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."}}