{"id":"W3094019439","doi":"10.23919/ursigass49373.2020.9232216","title":"The Implementation of Neural Networks for Phaseless Parametric Inversion","year":2020,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bin; Inversion (geology); Artificial neural network; Parametric statistics; Synthetic data; Algorithm; Computer science; Inverse transform sampling; Parametric model; Experimental data; Artificial intelligence; Mathematics; Geology; Statistics","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":[0.0005517072,0.0004127552,0.0001972687,0.0002331078,0.0002488984,0.0004867676,0.0008561152,0.0005516717,0.002288855],"category_scores_gemma":[0.002347066,0.00023579,0.0002099395,0.0002824318,0.0003404503,0.0006891973,0.0005376742,0.0008590807,0.000611576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000484158,"about_ca_system_score_gemma":0.0006190638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004163875,"about_ca_topic_score_gemma":0.005021774,"domain_scores_codex":[0.9998022,0.00005301842,0.00001094222,0.00003631134,0.00007583197,0.00002173781],"domain_scores_gemma":[0.9996001,0.0001743323,0.00002868661,0.00006810169,0.0001172872,0.00001144083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008601227,0.00005952898,0.0009145282,0.00006525795,0.00003911347,0.00006538553,0.0000508858,0.7097818,0.01368471,0.02784488,0.001669712,0.2457382],"study_design_scores_gemma":[0.000002201285,0.000008199354,0.00006899391,0.000002565915,0.000001666941,0.000007635425,0.000002277083,0.9940243,0.002712621,0.002423482,0.0007432366,0.000002897478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01092721,0.00007356114,0.9855688,0.000115899,0.00003383627,0.00002455791,0.00005645187,0.0008740019,0.002325643],"genre_scores_gemma":[0.3480979,0.0001250222,0.6473795,0.00009344577,0.00003462477,0.000179763,0.0001992362,0.000136927,0.003753581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004163875,"threshold_uncertainty_score":0.008279264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875858253938295,"score_gpt":0.3118533758348452,"score_spread":0.2830947932954622,"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."}}