{"id":"W4388022472","doi":"10.21428/d28e8e57.bfae2fbd","title":"Evaluation summary and metrics: “Money (Not) to Burn: Payments for Ecosystem Services to Reduce Crop Residue Burning”","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ecosystem services; Payment; Environmental science; Residue (chemistry); Ecosystem; Business; Agroforestry; Ecology; Biology; Finance","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003623358,0.0004471582,0.0005449949,0.0002667025,0.0002263149,0.0001376364,0.0005742978,0.0001650333,0.002613412],"category_scores_gemma":[0.0002619732,0.0004110891,0.0001173664,0.0007920339,0.0000247926,0.0002024743,0.001256275,0.0001469832,0.002466958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000999707,"about_ca_system_score_gemma":0.00002667007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976989,"about_ca_topic_score_gemma":0.005349938,"domain_scores_codex":[0.9956321,0.000215197,0.0007023133,0.001155208,0.00183808,0.0004570717],"domain_scores_gemma":[0.9984866,0.0001469591,0.0002830083,0.0006611539,0.00005644467,0.0003658122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001995397,0.00003460414,0.0001388328,0.001456191,0.00006775623,0.000002482131,0.0001113758,0.0004518011,0.0002039828,0.00001376156,0.9752327,0.02226656],"study_design_scores_gemma":[0.0003844333,0.0001657758,0.003550159,0.001452557,0.0003727162,0.000001291306,0.0001522914,0.0009756205,0.0002105901,0.00005661163,0.9921695,0.0005084502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04577524,0.02057543,0.00409762,0.694283,0.01168777,0.07246753,0.004101913,0.001329699,0.1456818],"genre_scores_gemma":[0.002063622,0.005258467,0.005368486,0.06146816,0.0002336538,0.002994827,0.001725356,0.0001595639,0.9207278],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7750461,"threshold_uncertainty_score":0.9998341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05873944345306561,"score_gpt":0.3373152035743229,"score_spread":0.2785757601212573,"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."}}