{"id":"W2981610107","doi":"10.4095/287959","title":"Geochemical landscapes: aspects of vertical and horizontal variation","year":2011,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Variation (astronomy); Horizontal and vertical; Geology; Geography; Physical geography; Geodesy; Physics; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001844522,0.0000826723,0.0001418646,0.0006966683,0.0001623737,0.000984338,0.0001450867,0.0001959148,0.001283224],"category_scores_gemma":[0.001900622,0.0001282519,0.0001000839,0.001996942,0.0003028726,0.0008020159,0.0002813425,0.0001491742,0.0001130607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742318,"about_ca_system_score_gemma":0.0001476653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009578687,"about_ca_topic_score_gemma":0.01829456,"domain_scores_codex":[0.9999157,0.00001917812,0.000003901187,0.00002219462,0.00002395421,0.00001505014],"domain_scores_gemma":[0.9994925,0.0002612644,0.00008431753,0.00004114084,0.00009192243,0.00002887991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003491973,0.00007732963,0.7006716,0.0001543167,0.0001300339,0.0002876078,0.0008886715,0.05245613,0.01977527,0.0348859,0.003362971,0.186961],"study_design_scores_gemma":[0.00001172574,0.00003307412,0.8850782,0.00001383654,0.00004167731,0.0002902743,0.0006640621,0.08953761,0.002334655,0.01617367,0.005800804,0.00002038805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629236,0.0008610037,0.02352632,0.0004318281,0.000009351501,0.00001341983,0.001499748,0.0001116627,0.01062324],"genre_scores_gemma":[0.9972114,0.000225878,0.001655737,0.0000093531,0.000006689863,0.000003071219,0.0003431876,0.00001629617,0.0005283711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009578687,"threshold_uncertainty_score":0.01904583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287998065245575,"score_gpt":0.2328217210183757,"score_spread":0.2099417403659199,"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."}}