{"id":"W6998405410","doi":"","title":"Across the pond from Toronto to Nijmegen","year":2024,"lang":"en","type":"article","venue":"Radboud Repository (Radboud University)","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Identification (biology); Work (physics); Data collection","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002620611,0.0002374907,0.0002045053,0.0000796674,0.001379259,0.002267967,0.0007999002,0.0001410017,0.0003263536],"category_scores_gemma":[0.00002659746,0.0001912429,0.0001524774,0.0001337139,0.0002465217,0.001092947,0.0002506824,0.0004600726,0.0001417317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582921,"about_ca_system_score_gemma":0.0001105129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879153,"about_ca_topic_score_gemma":0.001291962,"domain_scores_codex":[0.9983112,0.0001425763,0.0002250831,0.0005090776,0.0003441621,0.0004679128],"domain_scores_gemma":[0.9989097,0.0003000654,0.00006141149,0.0004246939,0.0001037284,0.0002003681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007370875,0.0000504945,0.0002461156,0.0000453661,0.0003023132,0.000665628,0.1708179,0.0002844305,0.000843432,0.5441259,0.2796743,0.002870425],"study_design_scores_gemma":[0.0001227226,0.00003733487,0.0001440498,0.00008951325,0.00006794673,0.00001605474,0.05341703,0.0004340542,0.00006808987,0.0001196721,0.9452133,0.00027019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4294835,0.009763046,0.0002542581,0.002364918,0.009680566,0.0003668514,0.0003055133,0.0008749274,0.5469064],"genre_scores_gemma":[0.7507998,0.00005726708,0.00003227657,0.0002646519,0.005025047,0.000002235564,0.00002395193,0.00003876675,0.2437561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6655391,"threshold_uncertainty_score":0.9999208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271657667061284,"score_gpt":0.2092035030740572,"score_spread":0.1964869264034444,"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."}}