{"id":"W7062146424","doi":"","title":"Slimgim-T: GIS Capability Maturity Model For State Departments of Transportation","year":2018,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration; Utah Department of Transportation; U.S. Department of Transportation","keywords":"Geospatial analysis; Capability Maturity Model; Maturity (psychological); State (computer science); Geographic information system; Information system; Center (category theory)","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":[0.005730406,0.0006455117,0.0002973549,0.003953942,0.0007460745,0.003111185,0.001245321,0.0011046,0.00285134],"category_scores_gemma":[0.01550516,0.000311844,0.001186633,0.003337204,0.0005576672,0.003871144,0.00242471,0.001553999,0.0007240494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005650749,"about_ca_system_score_gemma":0.007602803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054998,"about_ca_topic_score_gemma":0.02021241,"domain_scores_codex":[0.9976318,0.001123117,0.0002676219,0.0001541522,0.0006643913,0.000158938],"domain_scores_gemma":[0.9938056,0.003024185,0.0006619765,0.0003549148,0.00187147,0.0002818179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002578352,0.0008582959,0.09989589,0.0009808051,0.0002729681,0.0005006441,0.007915854,0.1298362,0.003256256,0.3824027,0.05473014,0.3190925],"study_design_scores_gemma":[0.0001479746,0.0005726408,0.03449372,0.001569664,0.0001840831,0.0004228155,0.01013765,0.6323013,0.00465676,0.1600653,0.1552539,0.0001941816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2145249,0.0007826076,0.6267304,0.009325275,0.0001370568,0.002846356,0.01140257,0.006484195,0.1277666],"genre_scores_gemma":[0.5546313,0.0003215568,0.4317404,0.0002198698,0.00001216814,0.002139473,0.007667949,0.0001623409,0.00310496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02054998,"threshold_uncertainty_score":0.04099923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334953123601,"score_gpt":0.2764120997519287,"score_spread":0.2530625685159186,"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."}}