{"id":"W7097274066","doi":"","title":"ADJACENCY MODELING TOOL FOR CIVIL INFRASTRUCTURE ASSETS","year":2014,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Work (physics); Context (archaeology); Asset (computer security); Process (computing)","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":[0.0006010592,0.001190776,0.0005490324,0.001579608,0.0008500022,0.002074266,0.001822878,0.001326508,0.03441871],"category_scores_gemma":[0.002290017,0.0008279845,0.00210291,0.001203272,0.0003575892,0.001932843,0.001447191,0.001484264,0.007060398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006956189,"about_ca_system_score_gemma":0.001253087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249285,"about_ca_topic_score_gemma":0.02160344,"domain_scores_codex":[0.9996819,0.0000598486,0.00003685123,0.00006470318,0.0001222047,0.00003453865],"domain_scores_gemma":[0.9993603,0.000365141,0.00004846149,0.00007319211,0.0001247636,0.0000282315],"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":[0.0001412597,0.0002008631,0.003660209,0.0007257406,0.0001410357,0.0008009443,0.0007318578,0.6046406,0.005547042,0.1368502,0.1075361,0.1390243],"study_design_scores_gemma":[0.00003545893,0.00002572454,0.0003531623,0.00006683501,0.00002982301,0.0002122212,0.0001354922,0.8276362,0.002693903,0.03219854,0.1365721,0.00004053153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005297803,0.000117081,0.9329551,0.000248231,0.00009134609,0.0001683708,0.008692564,0.03888105,0.01354842],"genre_scores_gemma":[0.1132652,0.00049333,0.8396499,0.0001978084,0.00004381628,0.0009884759,0.02211386,0.006043251,0.01720435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03441871,"threshold_uncertainty_score":0.115142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004945947676379524,"score_gpt":0.2002421747030417,"score_spread":0.1952962270266622,"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."}}