{"id":"W4254946854","doi":"10.1109/ccst.2007.4373448","title":"[Front cover]","year":2007,"lang":"en","type":"paratext","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Senstar (Canada)","funders":"","keywords":"Terrain; Computer science; Radar; Real-time computing; Ground-penetrating radar; Global Positioning System; ALARM; Remote sensing; Engineering; Telecommunications; Electrical engineering; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002837324,0.001172293,0.000972253,0.001385802,0.001543463,0.00523296,0.002340185,0.003069935,0.8674024],"category_scores_gemma":[0.001082798,0.000543422,0.0007963649,0.001114099,0.0004713426,0.00224847,0.001818038,0.002360177,0.8155555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955259,"about_ca_system_score_gemma":0.0008431889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618506,"about_ca_topic_score_gemma":0.004257574,"domain_scores_codex":[0.9994862,0.00002031877,0.00001402854,0.0001063053,0.0002990538,0.00007400236],"domain_scores_gemma":[0.9992951,0.00005708904,0.00003323759,0.00009103535,0.0003420766,0.0001814141],"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":[0.00003181067,0.00004673615,0.0001232202,0.0002368304,0.000005723118,0.0001051224,0.00001212361,0.0001016411,0.002002295,0.001403805,0.912625,0.0833056],"study_design_scores_gemma":[0.00000912296,0.00002042855,0.0003526436,0.00008020197,0.000003142757,0.0001393704,0.00002362967,0.0001304228,0.0006577216,0.000641945,0.9979318,0.000009471281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006653417,0.002552782,0.002808304,0.002118717,0.008544207,0.0002373554,0.005231411,0.004768707,0.9730732],"genre_scores_gemma":[0.003553498,0.001993334,0.001449011,0.002215833,0.001688672,0.00008073882,0.004625552,0.0008939006,0.9834995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1325976,"threshold_uncertainty_score":0.1891342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663464754330887,"score_gpt":0.2860804214468483,"score_spread":0.2694457739035394,"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."}}