{"id":"W3209836026","doi":"10.5281/zenodo.1219197","title":"simpeg/simpeg: Simulation and inversion of time domain IP data","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre de Géomatique du Québec","funders":"","keywords":"Computer science; Geology","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":[0.0006486282,0.0007297307,0.0003620676,0.000418236,0.0003520033,0.0007952652,0.001857879,0.0007762198,0.02368242],"category_scores_gemma":[0.002611224,0.0004450143,0.0004523687,0.0005005921,0.0003826696,0.001132871,0.0008806058,0.001224908,0.004247714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007075571,"about_ca_system_score_gemma":0.001087195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006374718,"about_ca_topic_score_gemma":0.007562121,"domain_scores_codex":[0.9997105,0.00004016922,0.00001438646,0.00003347914,0.0001539193,0.00004739414],"domain_scores_gemma":[0.9994616,0.0001637802,0.00002487301,0.00009337263,0.0001907163,0.0000656316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00101543,0.0002546209,0.004373345,0.001145804,0.0001906489,0.0007213184,0.0007926513,0.4484188,0.04635892,0.06427303,0.2987645,0.1336909],"study_design_scores_gemma":[0.0001183617,0.00004048296,0.0004081058,0.00003584219,0.00001238257,0.0000772369,0.00006214297,0.9067916,0.03520241,0.004451704,0.05276972,0.00003009495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.08650352,0.0004731372,0.7183337,0.00170441,0.0009945647,0.0005588385,0.01575282,0.0891851,0.08649394],"genre_scores_gemma":[0.4476695,0.0005157333,0.4620635,0.00058471,0.00007375982,0.0007066448,0.02016834,0.03831102,0.02990696],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02368242,"threshold_uncertainty_score":0.0792256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0398730027700348,"score_gpt":0.2609000018875083,"score_spread":0.2210269991174735,"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."}}