{"id":"W4401344002","doi":"10.1111/2041-210x.14391","title":"Why shouldn't I collect more data? Reconciling disagreements between intuition and value of information analyses","year":2024,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Australian Research Council","keywords":"Intuition; Value of information; Computer science; Population; Risk analysis (engineering); Epistemology; Artificial intelligence","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":[0.002089447,0.00008327748,0.000260773,0.0003211953,0.00006197179,0.00002436858,0.00007397313,0.0001322982,0.0000609924],"category_scores_gemma":[0.000202268,0.00009614628,0.00002201899,0.0001638444,0.00009828935,0.0008597864,0.0001009857,0.0001081896,0.00001275782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870702,"about_ca_system_score_gemma":0.00001240593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003574617,"about_ca_topic_score_gemma":0.00007999961,"domain_scores_codex":[0.998982,0.00009326659,0.0005455345,0.0002427428,0.00001762234,0.0001188645],"domain_scores_gemma":[0.9994558,0.0002141658,0.000153328,0.0001454998,0.000005562375,0.00002566024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009125013,0.00001389208,0.9745619,0.0000864635,0.00005777282,1.875205e-7,0.0004718321,0.0004862395,0.000062715,0.01027728,0.0001912423,0.01378137],"study_design_scores_gemma":[0.0002393286,0.00005643941,0.8573321,0.00002168395,0.00002570259,0.000001876421,0.0002207269,0.08936421,0.0000658987,0.05167122,0.000909283,0.00009153331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7227063,0.001675192,0.2743862,0.0002275149,0.0002320797,0.00014641,0.0001229575,0.00001136721,0.0004919575],"genre_scores_gemma":[0.9673591,0.0005388555,0.03174101,0.00009974564,0.00003292221,0.00001450859,0.0001898631,0.000005284086,0.00001876199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2446528,"threshold_uncertainty_score":0.3920732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2506647137452624,"score_gpt":0.3944642957114539,"score_spread":0.1437995819661914,"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."}}