{"id":"W2802897830","doi":"10.4095/288862","title":"GeoConnections geospatial return on investment case study: PRISM-GIS and PRISM-911","year":2010,"lang":"en","type":"report","venue":"","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prism; Geospatial analysis; Investment (military); Geography; Remote sensing; Geology; Cartography; Business; Environmental science; Optics; Physics; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004766025,0.0006301775,0.0005940524,0.0003193216,0.0003117943,0.0001251822,0.0002282284,0.0007340429,0.0001318117],"category_scores_gemma":[0.0001365288,0.0006083798,0.0001235726,0.0002105558,0.00007014427,0.0000792151,0.0001500357,0.001635252,0.00006501888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367866,"about_ca_system_score_gemma":0.0003046239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01446229,"about_ca_topic_score_gemma":0.01426995,"domain_scores_codex":[0.9973131,0.0000368022,0.0007700138,0.0007639839,0.0006764625,0.0004395794],"domain_scores_gemma":[0.9979504,0.0001578536,0.0001669823,0.001253836,0.0001823085,0.0002885776],"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":[0.00006784876,0.007094089,0.0101696,0.002584599,0.006821757,0.009608948,0.02075732,0.05190447,0.001264647,0.001982821,0.5231249,0.364619],"study_design_scores_gemma":[0.001964652,0.001166839,0.001822248,0.0003064451,0.001557559,0.008478423,0.001322201,0.2554895,0.0005966696,0.00178389,0.7216086,0.003903027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530385,0.0006325881,0.06331709,0.0004002854,0.006465453,0.008636547,0.0001896507,0.003685456,0.1636345],"genre_scores_gemma":[0.9642429,0.0008579401,0.0202051,0.0002457581,0.002197494,0.003467474,0.0003552423,0.0005142529,0.007913814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.360716,"threshold_uncertainty_score":0.9996368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083302064831895,"score_gpt":0.2790684368907209,"score_spread":0.2482354162424019,"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."}}