{"id":"W7052406208","doi":"","title":"RWIS Network Planning: Optimal Density and Location, June 2016","year":2016,"lang":"en","type":"other","venue":"Iowa Publications Online (State Library of Iowa)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration; Utah Department of Transportation; Ministère des Transports; Iowa Department of Transportation; Minnesota Department of Transportation; U.S. Department of Transportation","keywords":"Key (lock); Geographic information system; Spatial analysis; Data collection; Information system","routes":{"ca_aff":false,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001244007,0.00033697,0.0004234117,0.0004720815,0.000107998,0.0001271868,0.0006004677,0.0001260735,0.1210237],"category_scores_gemma":[0.0000215753,0.0002917962,0.00007877967,0.0006558972,0.0002638673,0.0001613488,0.0004532375,0.0002605902,0.0001318869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004661132,"about_ca_system_score_gemma":0.0006296761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002056953,"about_ca_topic_score_gemma":0.00002198724,"domain_scores_codex":[0.9980726,0.00008997932,0.0005298107,0.000540223,0.0003334787,0.0004339682],"domain_scores_gemma":[0.9980673,0.0001540838,0.0004894083,0.0008319967,0.0002018662,0.0002553988],"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":[0.00001290718,0.0001783166,0.008291949,0.00005937809,0.0001183488,6.397124e-7,0.00002560856,0.00000965767,0.00002954972,0.004656078,0.9474018,0.03921577],"study_design_scores_gemma":[0.0005047109,0.00003523354,0.007046011,0.0002573248,0.00003102578,7.607576e-7,0.00004632884,0.0002553017,0.00006093899,0.0006926099,0.9907668,0.0003030014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00112334,0.001471893,0.007062312,0.03129579,0.0002892106,0.001244397,0.001709257,0.0003559406,0.9554479],"genre_scores_gemma":[0.0006856689,0.0002823858,0.01005617,0.0001188975,0.0009774797,0.00007566458,0.002540461,0.0002159643,0.9850473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1208918,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192682591530836,"score_gpt":0.2674150963222019,"score_spread":0.2554882704068935,"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."}}