{"id":"W3010634588","doi":"","title":"Regional variations in crustal seismic attenuation across Canada from Lg waveform analysis","year":2018,"lang":"en","type":"article","venue":"AGUFM","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Seismology; Geology; Attenuation; Waveform; Geodesy; Remote sensing; Telecommunications; Computer science","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":[0.0002855416,0.0002490717,0.0001904883,0.001928498,0.0008448348,0.00100246,0.000506949,0.000206043,0.002231288],"category_scores_gemma":[0.001239177,0.0001386722,0.0002250204,0.004330587,0.0002916377,0.0002330352,0.0004211521,0.0002550244,0.0003693165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00703161,"about_ca_system_score_gemma":0.009481628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906716,"about_ca_topic_score_gemma":0.9939791,"domain_scores_codex":[0.9997867,0.00001074411,0.000009742166,0.00003726421,0.0000766402,0.00007895962],"domain_scores_gemma":[0.9990774,0.00005193823,0.00007544251,0.00002501564,0.0006690337,0.0001012539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004097302,0.00004532531,0.9283774,0.00006247213,0.0001482226,0.0002973228,0.00132502,0.003849678,0.007472111,0.0005738834,0.005056601,0.05238213],"study_design_scores_gemma":[0.000002948935,0.000005009514,0.9971208,0.000009711428,0.00002173196,0.00002342717,0.0004079799,0.0009295666,0.0002761366,0.00001895094,0.001178345,0.000005430955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891791,0.0001786598,0.0003143649,0.00009929539,0.000005862299,0.00001009535,0.006011315,0.00005250825,0.004148735],"genre_scores_gemma":[0.9922374,0.0001642976,0.0004831779,0.00002048734,0.000002914445,0.000005378351,0.004661325,0.00002137416,0.002403613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009328365,"threshold_uncertainty_score":0.05101812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822461301073636,"score_gpt":0.2312900813838016,"score_spread":0.2130654683730653,"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."}}