{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07812157,0.001216102,0.002375627,0.004795087,0.009871687,0.02403682,0.004639954,0.01674318,0.05361506],"category_scores_gemma":[0.1412953,0.0009031038,0.001077549,0.00277876,0.04810373,0.02418614,0.01467988,0.01753159,0.01281821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00933198,"about_ca_system_score_gemma":0.02141254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968677,"about_ca_topic_score_gemma":0.01123865,"domain_scores_codex":[0.9439534,0.02638983,0.002043182,0.002852848,0.02135358,0.003407183],"domain_scores_gemma":[0.7352046,0.1402012,0.00919465,0.01993038,0.0417367,0.05373248],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002160203,0.0003053998,0.001537558,0.0006583808,0.0001157551,0.0003415105,0.001233127,0.0004398776,0.0004422399,0.399117,0.4797593,0.1158338],"study_design_scores_gemma":[0.0001577091,0.0001419527,0.002669045,0.001724524,0.00005029933,0.0005016876,0.004880329,0.0004426939,0.0001811395,0.4668835,0.5222518,0.0001151404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002060999,0.02461883,0.004854836,0.8995731,0.006777384,0.00006032597,0.00008783346,0.0001955247,0.0617712],"genre_scores_gemma":[0.3123978,0.07143149,0.04474936,0.4382388,0.06300439,0.0007513608,0.0003324729,0.001018765,0.06807556],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9218785,"threshold_uncertainty_score":0.4131513,"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."}}