{"id":"W2559925744","doi":"10.1093/astrogeo/atw221","title":"Peering beneath the Canadian crust","year":2016,"lang":"en","type":"article","venue":"Astronomy & Geophysics","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Peering; Crust; Geology; Astrobiology; Earth science; Geophysics; Computer science; World Wide Web; Physics; The Internet","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":[0.005270688,0.0007460525,0.0006507442,0.003833017,0.01875296,0.009307937,0.002206523,0.002805866,0.07381474],"category_scores_gemma":[0.0401613,0.0003441909,0.0003966372,0.003383357,0.005144336,0.004007485,0.00474515,0.003015232,0.01160451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02721876,"about_ca_system_score_gemma":0.1166276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8853424,"about_ca_topic_score_gemma":0.9531446,"domain_scores_codex":[0.9896849,0.0008250279,0.0003370981,0.001113217,0.006226026,0.001813794],"domain_scores_gemma":[0.9200734,0.002745261,0.001371275,0.002478406,0.06129421,0.01203757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001869787,0.000004861703,0.002230118,0.0001083654,0.000007966271,0.0001933465,0.002590893,0.00006973243,0.0004460847,0.007148903,0.9447891,0.04239203],"study_design_scores_gemma":[0.000002183842,0.000003749546,0.002037672,0.0001076461,0.000004993736,0.00004018625,0.002889541,0.00002972347,0.0001406008,0.0007524973,0.9939746,0.00001664841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0168304,0.02477503,0.00212858,0.398612,0.09399439,0.0001908083,0.002593938,0.0008002225,0.4600747],"genre_scores_gemma":[0.1231969,0.01372105,0.003121045,0.02941926,0.009092879,0.00005052794,0.001377216,0.0009189501,0.8191022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1146576,"threshold_uncertainty_score":0.246935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007798001571993769,"score_gpt":0.1559123726451876,"score_spread":0.1481143710731938,"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."}}