{"id":"W6930634836","doi":"10.5281/zenodo.14154339","title":"PM_036564_B_Elsegem","year":2009,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Quarter (Canadian coin); Oral history; Population; Middle Ages","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005299663,0.0002659319,0.0002900156,0.0007390071,0.0008642396,0.00177483,0.005210734,0.0001604994,0.0296962],"category_scores_gemma":[0.0002480808,0.0002753519,0.0001006098,0.001097703,0.0001010148,0.0003143442,0.002577953,0.000360945,0.05488319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172021,"about_ca_system_score_gemma":0.00000541077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002490822,"about_ca_topic_score_gemma":0.000001000001,"domain_scores_codex":[0.9974746,0.0003257614,0.0002648862,0.0008308167,0.0006296802,0.0004743304],"domain_scores_gemma":[0.9975095,0.0000124363,0.0002361713,0.00178627,0.0002266141,0.0002289853],"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":[0.000002230236,0.00005060519,7.177209e-8,0.00001871663,0.00004554608,0.00002189746,0.0000807715,0.000002950654,0.00003978913,0.01039962,0.7874559,0.2018819],"study_design_scores_gemma":[0.0002373402,0.00009524733,0.00002176809,0.00005843802,0.0000188365,0.00006374223,0.00001052216,0.0005109603,0.00002414211,0.0002646722,0.9983996,0.0002948007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001289811,0.0002303028,0.09748741,0.0006460331,0.0001290938,0.0002829731,0.0001712349,0.003291113,0.8977606],"genre_scores_gemma":[0.00100138,0.0004873585,0.01383142,0.001009171,0.0008426873,4.200111e-8,0.005711488,0.01497324,0.9621432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2109437,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402608621501994,"score_gpt":0.237761736094234,"score_spread":0.2137356498792141,"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."}}