{"id":"W4401555230","doi":"10.2139/ssrn.4924003","title":"Evidence of the Need for Crop-Specific N2o Emission Factors","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Crop; Environmental science; Business; Agricultural engineering; Agronomy; Engineering; Biology","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":[0.0009586223,0.0003200406,0.0002909847,0.0003216511,0.0004084796,0.0007454274,0.0006294562,0.0006683679,0.004406633],"category_scores_gemma":[0.00280124,0.0001552464,0.0004205207,0.0007657434,0.0005902039,0.001058804,0.0006613198,0.0005376621,0.0005558366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007746861,"about_ca_system_score_gemma":0.0006430026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007104874,"about_ca_topic_score_gemma":0.01147457,"domain_scores_codex":[0.9994456,0.00004885292,0.00003191782,0.0003389762,0.00007550429,0.00005910691],"domain_scores_gemma":[0.9963892,0.001825275,0.0005092162,0.0005782173,0.0005237635,0.0001743149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002351095,0.0002709249,0.6372598,0.001337892,0.0006820504,0.0006349384,0.0005710305,0.006840947,0.2500791,0.01798997,0.001883087,0.08009911],"study_design_scores_gemma":[0.00003091967,0.0001544386,0.9620217,0.000027483,0.0001156789,0.0002892439,0.0004119694,0.002531696,0.01823469,0.006747988,0.009415014,0.00001910002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648814,0.002187736,0.009707365,0.001235763,0.00006178638,0.00002691623,0.001487774,0.0001366137,0.02027471],"genre_scores_gemma":[0.9959001,0.0005667676,0.001684154,0.0001684221,0.00001453451,0.000008916038,0.0007139081,0.00002752479,0.0009157369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007104874,"threshold_uncertainty_score":0.01474166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569787450040603,"score_gpt":0.2386066476545672,"score_spread":0.2229087731541612,"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."}}