{"id":"W4312244813","doi":"10.1121/10.0015679","title":"Quantifying data information content to resolve seabed structure in geoacoustic inversion","year":2022,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Victoria","funders":"","keywords":"Seabed; Spurious relationship; Inversion (geology); Geology; Acoustics; Computer science; Oceanography; Seismology; Physics","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":[0.009526845,0.00091959,0.0006527603,0.002079844,0.0005257477,0.001662113,0.0008709573,0.0009803879,0.0006417212],"category_scores_gemma":[0.04976584,0.0005198524,0.0005507688,0.001680186,0.001655096,0.003958059,0.002106664,0.001039651,0.0001393585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685527,"about_ca_system_score_gemma":0.001170592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003221674,"about_ca_topic_score_gemma":0.004893092,"domain_scores_codex":[0.996669,0.00190345,0.0002199123,0.0002484253,0.0008020807,0.0001571477],"domain_scores_gemma":[0.959105,0.03474541,0.001489692,0.002611541,0.00188344,0.000165022],"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":[0.000696375,0.0002112407,0.03500652,0.0005251503,0.0002250705,0.0002990801,0.0006219746,0.7049678,0.03638189,0.02368798,0.001149838,0.1962271],"study_design_scores_gemma":[0.00003815965,0.00009314251,0.008819153,0.00007737044,0.00005482667,0.0001326713,0.0001663569,0.9538136,0.02101618,0.01463067,0.001085513,0.00007232105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1823311,0.0004600494,0.8136515,0.0007250128,0.0000355943,0.0001460897,0.0004790324,0.0004976892,0.001673842],"genre_scores_gemma":[0.7548892,0.000339061,0.2429493,0.0002500477,0.00005355651,0.0001450938,0.0008148759,0.0001799646,0.000378855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009526845,"threshold_uncertainty_score":0.05038339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07604280109310346,"score_gpt":0.2839913461325637,"score_spread":0.2079485450394602,"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."}}