{"id":"W2088501886","doi":"10.3997/2214-4609.20140508","title":"Application of Seismic Interferometry in Crystalline Rocks - A Case Study From the Lalor Mining Area, Canada","year":2014,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Seismic interferometry; Interferometry; Seismology; Ambient noise level; Noise (video); Seismic noise; Passive seismic; Remote sensing; Image (mathematics); Computer science; Geomorphology; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002537878,0.00008559554,0.000158984,0.00005497343,0.00006227499,0.00002797369,0.0001801201,0.00001945306,0.00008910802],"category_scores_gemma":[0.00006031732,0.00005808002,0.00002320972,0.0003647885,0.00001833546,0.00007331123,0.00001478697,0.00008664152,0.000001559655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007694716,"about_ca_system_score_gemma":0.00002907722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9460299,"about_ca_topic_score_gemma":0.8374175,"domain_scores_codex":[0.9992893,0.00001051821,0.000224612,0.0001949658,0.0001464805,0.0001341673],"domain_scores_gemma":[0.9995849,0.0001398342,0.0001099454,0.00007909789,0.00004181304,0.00004446739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001023649,0.00001866739,0.9841052,0.000006700718,0.00002148051,0.000009203031,0.001157961,0.001568778,0.00003028449,8.306633e-7,0.0002251125,0.01284557],"study_design_scores_gemma":[0.0002528595,0.00007831766,0.152366,0.00001853662,0.00004174933,0.00002609105,0.02701275,0.8184941,0.00002002496,0.0001044461,0.001478127,0.0001070432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985178,0.0000689095,0.0005686353,0.000233075,0.00002291598,0.0001270097,0.00003384969,0.000007594293,0.0004201791],"genre_scores_gemma":[0.9994736,0.000003112925,0.00009090927,0.000305142,0.00006675348,0.000002252122,0.00002411952,0.000002476045,0.00003163737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8317392,"threshold_uncertainty_score":0.2368434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996560343239437,"score_gpt":0.1960026598084111,"score_spread":0.1860370563760167,"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."}}