{"id":"W2976948237","doi":"10.4236/ojf.2019.94017","title":"Soil Trafficability Forecasting","year":2019,"lang":"en","type":"article","venue":"Open Journal of Forestry","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water content; Environmental science; Rut; Soil science; Bulk density; Soil water; Context (archaeology); Hydrology (agriculture); Geotechnical engineering; Geology; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000290017,0.00007751051,0.0001535426,0.00005490096,0.00002111785,0.0000857777,0.0005324284,0.00003745655,0.0003901495],"category_scores_gemma":[0.00003482333,0.00006569372,0.00006309995,0.0001081548,0.00001470646,0.0003121473,0.0000970505,0.0001128791,0.00004202453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003886746,"about_ca_system_score_gemma":0.00002116982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001840396,"about_ca_topic_score_gemma":0.00001017279,"domain_scores_codex":[0.9993628,0.00001205063,0.0002930754,0.00006185452,0.0001409923,0.0001292352],"domain_scores_gemma":[0.9995732,0.00001962051,0.00008421813,0.0002013914,0.00004976691,0.00007181884],"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":[0.0002263628,0.000292403,0.1592046,0.0008402609,0.0004699059,0.0001661972,0.0007806172,0.6433462,0.002752833,0.01050919,0.06747599,0.1139354],"study_design_scores_gemma":[0.01051328,0.001379363,0.1847688,0.001243209,0.000205177,0.0008159526,0.002714634,0.4672147,0.01600882,0.01093312,0.3025281,0.001674891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381509,0.00007075544,0.000894211,0.0000810266,0.0005705123,0.0001462463,0.000001361356,0.00002164233,0.06006332],"genre_scores_gemma":[0.9978139,0.00001574137,0.001633528,0.00003069256,0.00004986796,0.000001239031,0.000001465894,0.00001418591,0.0004393776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.235052,"threshold_uncertainty_score":0.4271864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232750681875217,"score_gpt":0.2343279070711454,"score_spread":0.2120004002523932,"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."}}