{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0875688,0.001191874,0.001921583,0.007480209,0.001420036,0.00696679,0.002081774,0.002687374,0.05115608],"category_scores_gemma":[0.3200632,0.0005632903,0.001922533,0.006241865,0.001343148,0.004736875,0.002353039,0.002783694,0.01648254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008340234,"about_ca_system_score_gemma":0.01393963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009579208,"about_ca_topic_score_gemma":0.01208432,"domain_scores_codex":[0.8755043,0.06513083,0.01466101,0.002121816,0.04094817,0.001633805],"domain_scores_gemma":[0.7262136,0.0768634,0.01995106,0.008818544,0.1628878,0.00526559],"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":[0.0004616513,0.00009519313,0.001224716,0.004200128,0.0001974198,0.00002273815,0.0002001196,0.000943076,0.000174791,0.01137893,0.8679876,0.1131136],"study_design_scores_gemma":[0.0005632492,0.000744389,0.01395802,0.004951912,0.0004131818,0.00008575597,0.0004816267,0.002521953,0.002143452,0.01138942,0.9625525,0.0001943972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01727423,0.02278266,0.06783834,0.1581597,0.0402166,0.03094174,0.2599021,0.007262127,0.3956224],"genre_scores_gemma":[0.2986917,0.02112865,0.1714018,0.03899839,0.01119577,0.05977,0.1682279,0.006094651,0.2244911],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0875688,"threshold_uncertainty_score":0.4631136,"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."}}