{"id":"W4252630914","doi":"10.1002/9781119501459.app4","title":"Appendix D: General Partial Differentials of Typical Survey Observables","year":2018,"lang":"en","type":"other","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Geomatics; Library science; Citation; Engineering; Computer science; Data science; Geography; Cartography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001771382,0.0008744844,0.0006195006,0.002116608,0.0003758337,0.0008669809,0.001601733,0.001127535,0.33044],"category_scores_gemma":[0.02150514,0.0006147109,0.0007432091,0.003633965,0.0003193601,0.001643363,0.0008184579,0.001024609,0.07448721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415259,"about_ca_system_score_gemma":0.00171022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638784,"about_ca_topic_score_gemma":0.01561443,"domain_scores_codex":[0.998769,0.0003389742,0.0001175511,0.0002056141,0.0004906885,0.00007821705],"domain_scores_gemma":[0.9902989,0.00474095,0.0003078017,0.001527571,0.002984728,0.0001401495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000444721,0.00006391462,0.001755531,0.0004467361,0.0000361098,0.000153943,0.00007096158,0.01372128,0.0006597991,0.1129736,0.8062695,0.06380426],"study_design_scores_gemma":[0.0001209656,0.00004197752,0.005263602,0.0002519735,0.00002869668,0.001042355,0.00008699919,0.06277041,0.001992411,0.2145967,0.7137031,0.0001008935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004773475,0.0009444979,0.4581134,0.002111237,0.001388929,0.0005481223,0.4198866,0.004877735,0.1073559],"genre_scores_gemma":[0.1222585,0.002537445,0.3756218,0.001542379,0.001156893,0.001536056,0.3174606,0.005257006,0.1726294],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.33044,"threshold_uncertainty_score":0.955046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322074919644691,"score_gpt":0.260924620778307,"score_spread":0.2277038715818601,"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."}}