{"id":"W2126387669","doi":"10.1190/geo2011-0379.1","title":"Estimating source locations of unexploded ordnance using the multiple signal classification algorithm","year":2012,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada; University of British Columbia; University of British Columbia Hospital","funders":"Strategic Environmental Research and Development Program","keywords":"Unexploded ordnance; Signal subspace; Orthogonality; Algorithm; Linear subspace; Computer science; Subspace topology; Mathematics; Noise (video); Artificial intelligence; Image (mathematics); Remote sensing","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":[],"consensus_categories":[],"category_scores_codex":[0.0008132452,0.0009160584,0.0007869389,0.001902393,0.0003700411,0.0009195624,0.0009217216,0.001051254,0.001236204],"category_scores_gemma":[0.002563536,0.0002872695,0.0006036441,0.0009870304,0.0004061996,0.0008511422,0.0006910709,0.0007882527,0.0007759206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566876,"about_ca_system_score_gemma":0.0007705726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002534132,"about_ca_topic_score_gemma":0.002337391,"domain_scores_codex":[0.9995428,0.00008228069,0.00003308913,0.0001318497,0.0001533883,0.0000565897],"domain_scores_gemma":[0.9987117,0.0004664871,0.0001285297,0.0001155067,0.0005264373,0.0000512188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006521795,0.0001847981,0.007502557,0.0001058252,0.00008367257,0.0002825279,0.0001571958,0.2224962,0.05626119,0.004111907,0.001258221,0.7069038],"study_design_scores_gemma":[0.000006852544,0.00002661796,0.0009404685,0.000005347195,0.000006988905,0.00004224955,0.00002000075,0.9912595,0.006494229,0.0008286856,0.0003601744,0.000008798565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08640219,0.0001290277,0.9120557,0.00006769637,0.00002896886,0.0000290699,0.00007117383,0.0005756074,0.0006404509],"genre_scores_gemma":[0.4136846,0.0001121718,0.5833281,0.00005471671,0.00003793533,0.00006533761,0.0003827553,0.00008970053,0.002244726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002534132,"threshold_uncertainty_score":0.005038798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04342206107176286,"score_gpt":0.2766227118563171,"score_spread":0.2332006507845542,"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."}}