{"id":"W4416598153","doi":"10.1093/jmammal/gyaf082","title":"A letter to a young data analyst: learning before leaning on AI","year":2025,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Safeguarding; Troubleshooting; Competence (human resources); Coding (social sciences); Cognition; Data quality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02886652,0.001017047,0.001396759,0.001421548,0.007654116,0.009509617,0.002931981,0.02518624,0.006835476],"category_scores_gemma":[0.1656791,0.001143746,0.001728596,0.001308181,0.007035864,0.01331457,0.003517163,0.0600723,0.005292827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005404757,"about_ca_system_score_gemma":0.01437169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005782872,"about_ca_topic_score_gemma":0.007892474,"domain_scores_codex":[0.9782562,0.008619106,0.003064526,0.002840218,0.005762716,0.001457232],"domain_scores_gemma":[0.8503419,0.08900815,0.0054373,0.004480435,0.03170911,0.01902311],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005467906,0.00004502158,0.000530966,0.00008148827,0.00001591628,0.001165829,0.001251997,0.000086562,0.0002049916,0.004227234,0.9809099,0.01142536],"study_design_scores_gemma":[0.0000442575,0.0001044844,0.0006047371,0.0006177708,0.00002386047,0.004185292,0.005436451,0.0007974476,0.000435335,0.01787336,0.9697356,0.0001413274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002464851,0.0005454812,0.0006053693,0.9789347,0.01916138,0.00001341339,0.00002305235,0.00004459879,0.0004255693],"genre_scores_gemma":[0.005759646,0.001233967,0.00323919,0.9691406,0.01561295,0.0000674815,0.0000267906,0.00009421672,0.004825032],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9711335,"threshold_uncertainty_score":0.1526626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0683667792483739,"score_gpt":0.385965384207316,"score_spread":0.3175986049589421,"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."}}