{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399283,0.000293386,0.0001325178,0.001411954,0.0007055303,0.001229787,0.000458129,0.000338492,0.03413398],"category_scores_gemma":[0.0009634684,0.0002159764,0.00009690726,0.001859404,0.00005385221,0.0006836731,0.0006607682,0.0003877965,0.007762288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678306,"about_ca_system_score_gemma":0.002974261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05551598,"about_ca_topic_score_gemma":0.2406053,"domain_scores_codex":[0.9998541,0.00001219879,0.000009549097,0.00001817417,0.00007728726,0.00002875438],"domain_scores_gemma":[0.9996641,0.00001273116,0.00003288011,0.00001198489,0.0001716289,0.0001067487],"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":[0.00009289675,0.00008045864,0.01544256,0.00006185874,0.00001511454,0.0000690356,0.00009467199,0.0005365275,0.000152357,0.0007635811,0.9207948,0.06189621],"study_design_scores_gemma":[0.0000190938,0.0000863735,0.1197261,0.00006122713,0.00001730075,0.000129138,0.0005552348,0.0007489364,0.0004325472,0.000253369,0.8779615,0.000009172153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1707401,0.002674011,0.001300334,0.01064932,0.001692441,0.0004488712,0.2633169,0.000787207,0.5483909],"genre_scores_gemma":[0.1134967,0.001981088,0.002485708,0.0005939846,0.0001552966,0.0001636653,0.09466016,0.00007636918,0.7863869],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05551598,"threshold_uncertainty_score":0.1141895,"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."}}