{"id":"W4318615766","doi":"10.2139/ssrn.4327301","title":"Evaluation of the Potential of Trees to Sequester GHG Emissions from Daily Car Travel. The Case of Montreal, Canada","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Agricultural economics; Geography; Environmental protection; Natural resource economics; Business; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009591559,0.0006076408,0.0003271305,0.0008629782,0.001814002,0.002250259,0.00163665,0.0007448363,0.004588352],"category_scores_gemma":[0.0024048,0.0001928322,0.0005501267,0.001504433,0.0009313005,0.0006065256,0.0004993746,0.000569733,0.0002354694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02565287,"about_ca_system_score_gemma":0.02118826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879686,"about_ca_topic_score_gemma":0.9949649,"domain_scores_codex":[0.9993399,0.0001446332,0.000009769439,0.00005398519,0.0001661246,0.0002856214],"domain_scores_gemma":[0.9986707,0.0003627982,0.0000582295,0.00004475647,0.0007194166,0.00014409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004065651,0.001256934,0.2586283,0.001437425,0.001004895,0.004484778,0.001891315,0.4377118,0.02844949,0.04971768,0.02642274,0.184929],"study_design_scores_gemma":[0.0007478834,0.003366883,0.4874274,0.000484965,0.001740674,0.0006301354,0.02006867,0.3299582,0.02451214,0.01006965,0.120595,0.0003984153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378936,0.003115996,0.002600444,0.002038885,0.0000624434,0.0001661948,0.00209965,0.00008490625,0.05193788],"genre_scores_gemma":[0.9869399,0.0008000577,0.001167309,0.0001076427,0.00000616945,0.0000199958,0.0002911711,0.00001514792,0.01065255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02565287,"threshold_uncertainty_score":0.1861255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044498491264702,"score_gpt":0.2344812269482533,"score_spread":0.2240362420356063,"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."}}