{"id":"W2900545006","doi":"10.4095/288865","title":"GeoConnections geospatial return on investment case study: BCeMap (MASAS)","year":2011,"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":"Geospatial analysis; Investment (military); Business; Geography; Cartography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00217095,0.0004769506,0.0002345206,0.001847545,0.003374588,0.0027247,0.001318034,0.001736669,0.006366128],"category_scores_gemma":[0.004326623,0.0002380221,0.0003593063,0.003781069,0.001449987,0.001906198,0.00193018,0.001444753,0.0008103955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006228501,"about_ca_system_score_gemma":0.004438872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1180279,"about_ca_topic_score_gemma":0.1592753,"domain_scores_codex":[0.9972662,0.0009413446,0.00008725817,0.0001977576,0.0009484707,0.0005589913],"domain_scores_gemma":[0.9967384,0.0008523866,0.0002830418,0.0003594295,0.00115467,0.0006120949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001369605,0.002022588,0.1478835,0.0008411864,0.0002187192,0.06454527,0.02216975,0.05532935,0.006611011,0.2615489,0.1742308,0.2632293],"study_design_scores_gemma":[0.0001678047,0.0009021602,0.0702754,0.0005042217,0.00008696426,0.01623046,0.04870845,0.04608421,0.007058237,0.01514594,0.7946526,0.0001836026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7351795,0.0008509824,0.0149935,0.006330726,0.0001650224,0.001165863,0.003005483,0.0003895768,0.2379193],"genre_scores_gemma":[0.9492192,0.0006842953,0.01549001,0.0005072716,0.00003133364,0.0005768926,0.001577413,0.00009327078,0.03182029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8819721,"threshold_uncertainty_score":0.2346818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07402024205050885,"score_gpt":0.2908789440459412,"score_spread":0.2168587019954323,"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."}}