{"id":"W834892315","doi":"10.17226/14250","title":"Reducing Litter on Roadsides","year":2009,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Litter; Agronomy; Biology","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":[0.0005588732,0.0003071656,0.00033276,0.002463199,0.0005396265,0.001584379,0.0007001134,0.0006341134,0.02070149],"category_scores_gemma":[0.001224515,0.0001368449,0.0003189782,0.001935579,0.0003102202,0.0009898352,0.0005018634,0.000373511,0.003838025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794515,"about_ca_system_score_gemma":0.002950819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839112,"about_ca_topic_score_gemma":0.06601024,"domain_scores_codex":[0.9993308,0.00008838199,0.00003392788,0.00005489108,0.0004516206,0.00004045662],"domain_scores_gemma":[0.9995692,0.0001277593,0.00005989609,0.000019303,0.0002101112,0.00001373648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002470599,0.00005879344,0.0008413427,0.005584151,0.00001453283,0.0001262071,0.0006517008,0.0005289135,0.002548108,0.006863385,0.1046312,0.8781269],"study_design_scores_gemma":[0.000003703547,0.00008697711,0.003711763,0.004171879,0.00003128525,0.0003297586,0.0008580093,0.0001314759,0.003568696,0.001511705,0.9855847,0.00001002053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03433233,0.4418619,0.006515602,0.01126613,0.003031909,0.0003569062,0.002790458,0.0007293674,0.4991153],"genre_scores_gemma":[0.09925193,0.5011069,0.01832971,0.005601318,0.0008681056,0.000232836,0.002839119,0.0002299165,0.3715402],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02070149,"threshold_uncertainty_score":0.06925339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423881464611238,"score_gpt":0.3093602321249223,"score_spread":0.2651214174788099,"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."}}