{"id":"W1982269888","doi":"10.1007/s11367-011-0258-x","title":"Assessment of land use impacts on soil ecological functions: development of spatially differentiated characterization factors within a Canadian context","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Land use; Environmental science; Context (archaeology); Environmental resource management; Ecosystem services; Scope (computer science); Land use, land-use change and forestry; Scale (ratio); Soil quality; Spatial ecology; Ecosystem; Impact assessment; Ecological assessment; Ecology; Geography; Soil water; Soil science; Computer science; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004718933,0.0001236158,0.000230058,0.0001083351,0.00007906948,0.00004091233,0.0004202607,0.00005074928,0.0009982302],"category_scores_gemma":[0.00003444724,0.00007156248,0.00007536682,0.00007532305,0.00002447388,0.0002882439,0.00008217846,0.0001319993,0.000007909215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231184,"about_ca_system_score_gemma":0.0003876521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01113163,"about_ca_topic_score_gemma":0.1249108,"domain_scores_codex":[0.998352,0.00009705344,0.0006690421,0.0001073633,0.0006356519,0.0001388847],"domain_scores_gemma":[0.9985813,0.00008925523,0.0009246116,0.0001124369,0.0001310871,0.0001612834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000079791,0.0003972947,0.9898896,0.000007667963,0.0003027829,0.00000670136,0.00112538,0.002515643,0.005091042,0.00005521456,0.00002165303,0.0005072897],"study_design_scores_gemma":[0.0004889641,0.0002121924,0.9945712,0.0000737114,0.00002889559,0.000004426715,0.0002549299,0.002181048,0.001984942,0.00002545814,0.0000949481,0.00007929547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981351,0.000002312054,0.0005046772,0.0002365391,0.0004997342,0.0001224466,0.00003397626,0.000004176929,0.0004609704],"genre_scores_gemma":[0.9994079,0.000009139246,0.0003084115,0.0001766216,0.00003911505,0.000004002609,0.0000351886,0.000007764047,0.00001189358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137792,"threshold_uncertainty_score":0.999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495240640720275,"score_gpt":0.258101942909188,"score_spread":0.2231495365019852,"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."}}