{"id":"W3012314022","doi":"","title":"Constraining crustal structure through time: receiver function analysis in eastern Canada","year":2014,"lang":"en","type":"article","venue":"EGUGA","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Receiver function; Geology; Function (biology); Remote sensing; Geodesy; Seismology; Lithosphere","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":[0.0004606438,0.0003976354,0.0003127929,0.0009126024,0.001522662,0.001323944,0.001003674,0.0004376499,0.001455166],"category_scores_gemma":[0.001441296,0.0002726686,0.0003852021,0.002503881,0.000562397,0.0003693848,0.0004116807,0.0004504079,0.0001688961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01347147,"about_ca_system_score_gemma":0.01999747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972488,"about_ca_topic_score_gemma":0.9977247,"domain_scores_codex":[0.9998071,0.00001774082,0.000008324731,0.00004553581,0.00004340915,0.00007796326],"domain_scores_gemma":[0.9993234,0.0001051534,0.0000576717,0.00003747326,0.0003865944,0.00008980003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003555998,0.0001023467,0.7594922,0.00009628276,0.0003385691,0.0005454012,0.001509559,0.1464221,0.006252347,0.003881958,0.00407242,0.07693126],"study_design_scores_gemma":[0.00003601998,0.00001888047,0.7851455,0.00005607372,0.0001691025,0.0000869075,0.001686131,0.2035344,0.001496221,0.000862262,0.0068305,0.00007797474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938735,0.0004430295,0.001995778,0.0002391351,0.000008619219,0.000007896055,0.001487839,0.00006470871,0.001879559],"genre_scores_gemma":[0.9955441,0.0002349121,0.001557432,0.00002238781,0.000002501702,0.00000317666,0.0007873414,0.00002134826,0.001826754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347147,"threshold_uncertainty_score":0.0977428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025739439216018,"score_gpt":0.1831380591445749,"score_spread":0.1728806647524147,"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."}}