{"id":"W7026507278","doi":"","title":"Appendix C-Wetlands Finding. Wetland finding : State Highway 10 widening and bridge replacement project near Miami, Ottawa County, Oklahoma.","year":2007,"lang":"en","type":"other","venue":"","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); State (computer science); Wetland; State highway","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004370373,0.0008769313,0.0004060192,0.004159924,0.001313736,0.0006682895,0.001966019,0.0009374004,0.5917495],"category_scores_gemma":[0.004082135,0.0006390312,0.0002613201,0.006459167,0.0002106222,0.0009495844,0.0009278791,0.0005780915,0.2035143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718025,"about_ca_system_score_gemma":0.003447468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.179383,"about_ca_topic_score_gemma":0.2656769,"domain_scores_codex":[0.9995701,0.00004477179,0.00005979877,0.00005766911,0.0001992433,0.000068398],"domain_scores_gemma":[0.9951383,0.000816546,0.0002807308,0.0002320052,0.003175046,0.0003573949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002222461,0.00005879915,0.001254777,0.0001337098,0.000001740359,0.00005805712,0.0000543992,0.000155215,0.00007475783,0.0002105769,0.9870794,0.01089634],"study_design_scores_gemma":[0.0001247421,0.00005095853,0.04587234,0.0003482676,0.00001109693,0.0001793597,0.0008996247,0.0005502162,0.0007588926,0.0007867396,0.9503854,0.00003230308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001757569,0.00006055212,0.0006915704,0.0003116277,0.0001406695,0.001004852,0.7391657,0.0005560216,0.2563114],"genre_scores_gemma":[0.01380393,0.0003692424,0.005734612,0.0004012773,0.00009483072,0.00180712,0.6986169,0.0005343473,0.2786377],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5917495,"threshold_uncertainty_score":0.5823197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475463376200068,"score_gpt":0.2392488219455098,"score_spread":0.2244941881835091,"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."}}