{"id":"W2156609760","doi":"10.1007/s10669-010-9258-9","title":"Excellent research: challenging and expensive","year":2010,"lang":"en","type":"article","venue":"The Environmentalist","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Business; Environmental planning; Natural resource economics; Environmental science; Economics","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":[0.0016083,0.00007220439,0.000108123,0.00004729587,0.0002768059,0.00001323413,0.00008480224,0.00005844034,0.0007417345],"category_scores_gemma":[0.002319557,0.00004322583,0.00002196626,0.00005181542,0.0007742448,0.00003205713,0.0001353185,0.0008595557,0.0002182511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006711656,"about_ca_system_score_gemma":0.0001186467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001908147,"about_ca_topic_score_gemma":0.00001960921,"domain_scores_codex":[0.9983677,0.00008393199,0.0001084774,0.0001661889,0.0006496148,0.0006241423],"domain_scores_gemma":[0.9974851,0.0002946509,0.00001478631,0.0003234073,0.000009641201,0.001872405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007419424,0.0009894181,0.01507929,0.0004367667,0.0001107333,0.0008002411,0.01332194,0.000001453974,0.6244054,0.00585414,0.1510515,0.1872071],"study_design_scores_gemma":[0.002324437,0.0007388325,0.09751693,0.0001141289,0.0000240891,0.0002639694,0.007707329,0.000347865,0.01612034,0.0007753758,0.8738852,0.0001815721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422504,0.0004488216,0.000008056022,0.04774981,0.00008959823,0.0004288787,0.00000270743,0.0000140409,0.009007737],"genre_scores_gemma":[0.9933107,0.001278923,0.00006646697,0.003251641,0.0002742179,0.00002736529,0.000005054861,0.0000139203,0.001771718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7228336,"threshold_uncertainty_score":0.8121472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2967788669807429,"score_gpt":0.4628971146414838,"score_spread":0.166118247660741,"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."}}