{"id":"W4237573713","doi":"10.4095/299560","title":"First vertical derivative of gravity anomalies map, Canada","year":2017,"lang":"en","type":"report","venue":"","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geodesy; Geology; Derivative (finance); Gravity anomaly; Geometry; Geophysics; Mathematics; Paleontology; Economics","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":[0.0005097912,0.0008862562,0.0003291985,0.005421089,0.001837043,0.00229914,0.001099143,0.0003110248,0.01607602],"category_scores_gemma":[0.002764969,0.0003131477,0.0004080219,0.01081399,0.0003423321,0.0006764724,0.000938281,0.0008151889,0.007486138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02129783,"about_ca_system_score_gemma":0.07085078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925594,"about_ca_topic_score_gemma":0.9936433,"domain_scores_codex":[0.9987432,0.00002417138,0.00003897573,0.00014438,0.0007728497,0.0002764527],"domain_scores_gemma":[0.9951965,0.00006597535,0.0000890621,0.0001148339,0.004216346,0.0003171765],"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":[0.0001263499,0.00004690448,0.03260745,0.0001603479,0.00004726108,0.000134958,0.000204895,0.001692144,0.0007212846,0.003307361,0.9242743,0.03667679],"study_design_scores_gemma":[0.00007243447,0.00001940499,0.2881874,0.0001716254,0.00003692541,0.0001247744,0.0009180306,0.004058682,0.002135344,0.0007922169,0.7033941,0.00008901948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01082848,0.0002672564,0.0007754064,0.0005307809,0.00008507216,0.0001466977,0.952984,0.0008339477,0.03354839],"genre_scores_gemma":[0.03361325,0.0006884721,0.004078109,0.0001340452,0.00002786779,0.0001532616,0.9233667,0.000291088,0.03764726],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02129783,"threshold_uncertainty_score":0.1545272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392647345984709,"score_gpt":0.2411525802190309,"score_spread":0.1972261067591838,"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."}}