{"id":"W4396598857","doi":"10.1111/2041-210x.14325","title":"Harnessing large language models for coding, teaching and inclusion to empower research in ecology and evolution","year":2024,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Coding (social sciences); Computer science; Social science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.01452863,0.0001158841,0.0002125319,0.0008536074,0.001022906,0.00009566348,0.0002046907,0.0002411365,0.000002023987],"category_scores_gemma":[0.001040123,0.0001179711,0.00001759618,0.0004995679,0.0001177491,0.0007264609,0.001943132,0.0005477506,0.000002372834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154639,"about_ca_system_score_gemma":0.00009089971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003879343,"about_ca_topic_score_gemma":0.003137071,"domain_scores_codex":[0.9966929,0.001754228,0.0002913678,0.0006082928,0.000110501,0.000542728],"domain_scores_gemma":[0.9977758,0.001886112,0.00003276099,0.0001736872,0.00005764004,0.00007403114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001083595,0.0001635134,0.03337836,0.0002556224,0.00001295535,0.00006418762,0.06159408,0.001801378,0.0218191,0.7364873,0.0001696809,0.1441454],"study_design_scores_gemma":[0.0001500908,0.0001765345,0.02619255,0.00008054407,0.000003235284,0.00002012476,0.001490574,0.672491,0.0004105393,0.2985742,0.0002989599,0.0001116766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4215569,0.001141441,0.5752587,0.001244385,0.0003017304,0.000288265,0.000001377447,0.00003549538,0.0001717593],"genre_scores_gemma":[0.7749746,0.00003760986,0.2246825,0.0001018298,0.00004005421,0.00007920136,0.000001311115,0.000007596787,0.00007531756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6706896,"threshold_uncertainty_score":0.7867472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08054531930976476,"score_gpt":0.4658574914980209,"score_spread":0.3853121721882561,"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."}}