{"id":"W2981494350","doi":"10.4095/295611","title":"DSIM3D: software to perform unconstrained 3D inversion of magnetic data","year":2015,"lang":"en","type":"report","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Inversion (geology); Computer science; Software; Geology; Algorithm; Computational science; Programming language; Seismology","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":[0.000997104,0.001455448,0.001007874,0.000844043,0.0005787222,0.001556713,0.002919134,0.0008396435,0.06010349],"category_scores_gemma":[0.002923238,0.001269643,0.001157202,0.0008010093,0.0004116416,0.001303012,0.002281729,0.002055984,0.01683213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143011,"about_ca_system_score_gemma":0.001730044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006854731,"about_ca_topic_score_gemma":0.01366602,"domain_scores_codex":[0.9996038,0.00005450384,0.00003105799,0.00006250577,0.0002054542,0.0000426132],"domain_scores_gemma":[0.9993729,0.0002363698,0.00004412836,0.00010833,0.0001908463,0.00004752811],"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":[0.0003712577,0.0001874555,0.006542058,0.001251342,0.0005172478,0.0005113094,0.0006529701,0.1282867,0.02049488,0.02570197,0.5448709,0.2706118],"study_design_scores_gemma":[0.0002503082,0.00006722219,0.001978812,0.00008259187,0.00006336622,0.0003922298,0.00013103,0.7013227,0.01809265,0.01491247,0.262574,0.0001326484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006784455,0.0001902134,0.8477951,0.0002289057,0.0002249824,0.0002247255,0.01865927,0.1150398,0.01085255],"genre_scores_gemma":[0.07010812,0.0003355044,0.8348213,0.0003062947,0.00008268297,0.0009891629,0.03904643,0.04346466,0.01084581],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06010349,"threshold_uncertainty_score":0.2010662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08891104290791492,"score_gpt":0.3002256666123225,"score_spread":0.2113146237044076,"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."}}