{"id":"W7086592512","doi":"","title":"The transferability of NO and NO² land use regression models between cities and pollutants","year":2011,"lang":"en","type":"article","venue":"Figshare","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transferability; Pollutant; Air pollution; Air pollutants; Regression analysis; Linear regression; Sampling (signal processing)","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":[0.008627343,0.001151918,0.0006277634,0.0009438755,0.0005752665,0.001677767,0.001426547,0.0007321157,0.001718107],"category_scores_gemma":[0.02634656,0.000577584,0.00240075,0.0008826526,0.0009963675,0.001336128,0.00157171,0.001210099,0.0006871838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002780277,"about_ca_system_score_gemma":0.001387064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1447087,"about_ca_topic_score_gemma":0.09332383,"domain_scores_codex":[0.9941567,0.002776322,0.0002697796,0.001940828,0.0005790633,0.0002773219],"domain_scores_gemma":[0.9916692,0.004326018,0.001091684,0.001711098,0.001051351,0.0001507165],"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":[0.0007963439,0.0002414215,0.451991,0.0001061858,0.002455033,0.0004159064,0.000754764,0.4706756,0.005422598,0.002927772,0.001264769,0.06294867],"study_design_scores_gemma":[0.00007996302,0.0003442325,0.2676059,0.00005299532,0.0004081567,0.0002069945,0.0004320172,0.7211764,0.002935062,0.003723626,0.002913574,0.0001211624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911746,0.0004413279,0.08188183,0.000395065,0.0000684406,0.0002697837,0.001222013,0.0006007205,0.003374932],"genre_scores_gemma":[0.9891009,0.000107766,0.007100925,0.00009432701,0.00001336833,0.00009083841,0.001523885,0.00007964567,0.001888442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1447087,"threshold_uncertainty_score":0.2877327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08954345885101757,"score_gpt":0.2086273938285282,"score_spread":0.1190839349775106,"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."}}