{"id":"W2959981999","doi":"10.1007/s10653-019-00370-y","title":"Potential of asphalt concrete as a source of trace metals","year":2019,"lang":"en","type":"article","venue":"Environmental Geochemistry and Health","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asphalt; TRACE (psycholinguistics); Environmental science; Forensic engineering; Geology; Geotechnical engineering; Materials science; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006965257,0.0004408409,0.0002712123,0.00076284,0.0004419414,0.0008428572,0.0003550207,0.0007537248,0.000753728],"category_scores_gemma":[0.000798918,0.0001253829,0.0003804414,0.0004786708,0.0003551708,0.0002958804,0.0003589128,0.0002760131,0.000243698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007492415,"about_ca_system_score_gemma":0.001147155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006282459,"about_ca_topic_score_gemma":0.009491337,"domain_scores_codex":[0.9987551,0.0004165658,0.00004176729,0.00010397,0.0005760541,0.0001065004],"domain_scores_gemma":[0.9995223,0.0001001637,0.00008605152,0.00002596476,0.0002285901,0.00003694541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002151693,0.0002814562,0.04481005,0.0003935378,0.0001909023,0.0004806357,0.0002419402,0.008911352,0.9092796,0.0007161268,0.0001810865,0.03236159],"study_design_scores_gemma":[0.00002024788,0.002770966,0.02247032,0.00003865785,0.0002231696,0.0004195562,0.0003241524,0.007026066,0.9626653,0.0002930208,0.003728272,0.00002017919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942316,0.0006372272,0.002645539,0.00004709154,0.00001094743,0.00003771345,0.0001608772,0.00002126833,0.002207735],"genre_scores_gemma":[0.9965034,0.0004050274,0.001312054,0.00001318742,0.000003112283,0.000009058182,0.00008567257,0.000003587762,0.001664986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006282459,"threshold_uncertainty_score":0.01249176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007441607491931238,"score_gpt":0.2289975565896972,"score_spread":0.2215559490977659,"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."}}