{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000514843,0.0009999707,0.001042117,0.001804022,0.000932508,0.004839952,0.001368644,0.0009002198,0.9364853],"category_scores_gemma":[0.004146031,0.0008554265,0.0006185643,0.004323606,0.0003816299,0.001898211,0.001746731,0.00091125,0.9267227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008840317,"about_ca_system_score_gemma":0.0009097461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006983863,"about_ca_topic_score_gemma":0.006316273,"domain_scores_codex":[0.999543,0.00004528363,0.00002032946,0.0001435071,0.0001769539,0.000070945],"domain_scores_gemma":[0.9980838,0.0003556083,0.00009608835,0.000492821,0.0005674057,0.0004042478],"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":[0.00003209529,0.000007400688,0.000100169,0.00004543894,0.000001767433,0.000008030323,0.00001383839,0.00002090377,0.00008986619,0.00021689,0.9848764,0.01458718],"study_design_scores_gemma":[0.00004466266,0.00001414765,0.001363144,0.00004376808,0.000003299019,0.00003307912,0.00003862336,0.00008835175,0.0003789996,0.000321758,0.9976625,0.000007615782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008586659,0.000270118,0.002389586,0.000730354,0.000752773,0.0002081575,0.2909857,0.03844609,0.6653585],"genre_scores_gemma":[0.005396565,0.0003901895,0.002121426,0.0002981714,0.0002685979,0.0002548028,0.1392439,0.02400081,0.8280256],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06351471,"threshold_uncertainty_score":0.09059596,"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."}}