{"id":"W2131538732","doi":"","title":"Prince George's County, Maryland Shoreline Situation Portfolio - 2005","year":2005,"lang":"en","type":"article","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"George (robot); Shore; Portfolio; Geography; Archaeology; History; Oceanography; Economics; Geology; Finance; Art history","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001237822,0.0001030078,0.00009804379,0.00004084843,0.00002723274,0.00002896995,0.00006607395,0.0000595343,0.00634431],"category_scores_gemma":[0.00001114795,0.00009278123,0.00002321669,0.00004657608,0.00001519614,0.00009118939,0.00001853001,0.00008411459,0.000140871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004067129,"about_ca_system_score_gemma":0.00001201848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006539129,"about_ca_topic_score_gemma":0.0004155465,"domain_scores_codex":[0.9993659,0.00000312191,0.0001945914,0.0001020039,0.000128976,0.0002053922],"domain_scores_gemma":[0.9997171,0.0000152403,0.00001532435,0.0001519099,0.0000275475,0.00007291894],"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":[0.000009079083,0.00008266421,0.003758615,0.00006037625,0.00004461403,0.00002876389,0.00005709772,0.1081053,0.000413339,0.009005833,0.8010556,0.07737871],"study_design_scores_gemma":[0.000138363,0.000006313132,0.002574521,0.000004938983,0.00001150759,0.00001145822,0.000005455826,0.1617039,0.0003505812,0.0001435733,0.8348911,0.0001582551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02379556,0.0008449936,0.1464617,0.001274932,0.0005235267,0.0003084484,0.00005359156,0.001064828,0.8256724],"genre_scores_gemma":[0.9514157,0.0006173954,0.009694488,0.0005312022,0.0008804437,0.00001053809,0.0002024049,0.00004205238,0.03660581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9276201,"threshold_uncertainty_score":0.994564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007117953629639666,"score_gpt":0.2037715809692084,"score_spread":0.1966536273395688,"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."}}