{"id":"W2900438999","doi":"10.1561/101.00000098","title":"Identifying the Causes of Low Participation Rates in Conservation Tenders","year":2018,"lang":"en","type":"article","venue":"International Review of Environmental and Resource Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Call for bids; Business; Natural resource economics; Economics; Procurement; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.02467791,0.0001946871,0.0004762,0.001299686,0.001465061,0.003346625,0.001778186,0.001318097,0.01117027],"category_scores_gemma":[0.08129014,0.0004271552,0.0004402072,0.002619519,0.00235899,0.002959338,0.002299942,0.002051376,0.00135597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588058,"about_ca_system_score_gemma":0.002134843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005540141,"about_ca_topic_score_gemma":0.006591944,"domain_scores_codex":[0.9718629,0.01529151,0.001483089,0.002244386,0.004905432,0.004212753],"domain_scores_gemma":[0.871753,0.07976065,0.03094953,0.005277521,0.009002122,0.00325708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007496407,0.0004636311,0.6611234,0.001089393,0.0001475169,0.001988121,0.03162133,0.007208526,0.00267521,0.09034682,0.01454912,0.1880373],"study_design_scores_gemma":[0.0001462517,0.0005655724,0.7783207,0.001324513,0.0001215236,0.001922656,0.06547773,0.02229886,0.00295023,0.05679198,0.06989238,0.0001875397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357536,0.001182712,0.02080463,0.006087064,0.00007928302,0.0002804588,0.0006204599,0.00007983446,0.03511201],"genre_scores_gemma":[0.9958687,0.0002580575,0.001394775,0.0002721869,0.00002430623,0.00009273985,0.0001619568,0.00002073583,0.001906558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467791,"threshold_uncertainty_score":0.1305108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07790443953926925,"score_gpt":0.2613164101157325,"score_spread":0.1834119705764632,"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."}}