{"id":"W7096594641","doi":"","title":"GJI Seismology Noise correlation tomography of Southwest Western Canada Sedimentary Basin","year":2016,"lang":"en","type":"article","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archean; Terrane; Proterozoic; Precambrian; Basement; Crust; Sedimentary rock; Shear (geology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007095827,0.0002993485,0.0001322668,0.001418552,0.00061062,0.0006623931,0.000366571,0.0001767025,0.001416363],"category_scores_gemma":[0.0003595695,0.000146604,0.00009010579,0.003111973,0.0002733099,0.0001237662,0.0002620384,0.0001485657,0.0002647238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003124639,"about_ca_system_score_gemma":0.004990174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343551,"about_ca_topic_score_gemma":0.9662614,"domain_scores_codex":[0.9998969,0.000002533443,0.000003042562,0.0000184936,0.00004387237,0.00003513823],"domain_scores_gemma":[0.9998177,0.000009746614,0.00002620289,0.000007030238,0.0001125166,0.0000268419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004615998,0.00009818913,0.7580193,0.0001672485,0.0001310748,0.001890432,0.002368101,0.03683171,0.064835,0.001929166,0.008520802,0.1247474],"study_design_scores_gemma":[0.000009329056,0.00001098265,0.9812438,0.00001191462,0.00002267948,0.0001210165,0.0004837862,0.01374638,0.001756142,0.00009110807,0.002488965,0.0000138802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911795,0.0001638381,0.0007907847,0.00005990334,0.000004174123,0.00001359165,0.003429662,0.0001240485,0.004234523],"genre_scores_gemma":[0.9946851,0.0001515275,0.0009814337,0.00001401434,0.000004050957,0.000006394919,0.002131795,0.00001475522,0.002011039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06564492,"threshold_uncertainty_score":0.132063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005408812889522554,"score_gpt":0.1684088822946564,"score_spread":0.1630000694051339,"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."}}