{"id":"W1432716741","doi":"","title":"Spectral and thermal mapping of desert surface sediments for agricultural development","year":2015,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; U.S. Geological Survey","keywords":"Desert (philosophy); Agriculture; Environmental science; Thermal; Earth science; Geology; Geography; Ecology; Biology; Meteorology; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001416823,0.0001067174,0.0001198583,0.00001553913,0.0002496938,0.00002640762,0.00008129485,0.00002452714,0.00003117236],"category_scores_gemma":[0.00003725911,0.00007744491,0.00002173924,0.00006303199,0.0001456369,0.0003305803,0.00005166117,0.00004392048,0.000009903575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002192199,"about_ca_system_score_gemma":0.00007727925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372686,"about_ca_topic_score_gemma":0.0003779771,"domain_scores_codex":[0.9991968,0.00001298849,0.0001909039,0.0001735478,0.0002638574,0.0001619448],"domain_scores_gemma":[0.9996884,0.00004250361,0.00005873167,0.00007422097,0.00003557863,0.0001005412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001300878,0.00004677437,0.9895276,0.00006919804,0.0001052577,0.00001737732,0.0006553704,0.002622026,0.00238526,0.0008673423,0.001038815,0.002534821],"study_design_scores_gemma":[0.0004860756,0.00007651312,0.9461421,0.00004072797,0.00001486373,0.00004271475,0.0005778413,0.000337503,0.007964701,0.00004524776,0.04408979,0.0001818682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929549,0.0005006943,0.0002583734,0.0000610122,0.0004967427,0.0001479114,0.0001657491,0.00001396069,0.005400687],"genre_scores_gemma":[0.9880958,0.00001925583,0.01084309,0.00002427778,0.0001645685,0.000002526568,0.0006044264,0.000001433601,0.0002446489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04338552,"threshold_uncertainty_score":0.3158112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034542670943562,"score_gpt":0.2163706055909376,"score_spread":0.1818279346473756,"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."}}