{"id":"W3031165640","doi":"10.4095/321093","title":"Legacy seismic reflection data from the Great Lakes: recovery and applications","year":2020,"lang":"en","type":"report","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Reflection (computer programming); Geology; Earth science; Seismology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004898179,0.0002966175,0.0001344404,0.001781614,0.0004149531,0.0005194494,0.0005528635,0.0003056853,0.004147478],"category_scores_gemma":[0.0017417,0.0002437387,0.0001696088,0.004668401,0.0001839129,0.0003324458,0.0006921092,0.000188977,0.001915548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184949,"about_ca_system_score_gemma":0.003734673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5236787,"about_ca_topic_score_gemma":0.6688991,"domain_scores_codex":[0.9996531,0.00002378227,0.00001950539,0.00003595025,0.0002218844,0.0000457127],"domain_scores_gemma":[0.9989241,0.00005454517,0.00005545297,0.0001476177,0.0007536531,0.00006459928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003734319,0.0003030741,0.2244878,0.0003492812,0.00008174237,0.0009940394,0.001549829,0.009888367,0.03149142,0.001722894,0.08684073,0.6419173],"study_design_scores_gemma":[0.0001341195,0.00008551784,0.820102,0.00008278032,0.00007446604,0.000379572,0.001199511,0.0176425,0.01381554,0.0004751492,0.145951,0.00005778496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7946221,0.001168196,0.01588123,0.001652564,0.00006740975,0.000710392,0.138309,0.002070769,0.0455184],"genre_scores_gemma":[0.5926257,0.003205432,0.08198909,0.0001648889,0.0001309167,0.0005718691,0.2749628,0.0004677571,0.04588147],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5236787,"threshold_uncertainty_score":0.958253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07987318051332477,"score_gpt":0.2906000678523414,"score_spread":0.2107268873390167,"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."}}