{"id":"W2946336920","doi":"10.1016/j.matpr.2019.04.041","title":"Remote Sensing Contribution to The Identification of Potential Geothermal Deposits: A Case Study of The Moroccan Sahara","year":2019,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Geothermal gradient; Identification (biology); Geology; Remote sensing; Earth science; Mining engineering; Geography; Geophysics; Ecology","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":[0.0004803657,0.0003755311,0.0001782788,0.001449191,0.0005391062,0.0007171234,0.0002817097,0.0003087308,0.001259231],"category_scores_gemma":[0.000894847,0.00009560143,0.0002057275,0.0009896797,0.0003275168,0.0002232245,0.0004085421,0.0001260289,0.0001354218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000939267,"about_ca_system_score_gemma":0.0006252134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08122785,"about_ca_topic_score_gemma":0.1308028,"domain_scores_codex":[0.9998472,0.00005316866,0.00000776498,0.00001960306,0.00003007965,0.0000421941],"domain_scores_gemma":[0.9996407,0.0001761935,0.00005949814,0.00001975062,0.00008234448,0.00002154354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004028031,0.0002986266,0.7733582,0.0004473377,0.0002868008,0.01521226,0.007708222,0.009958617,0.02326563,0.002016922,0.001595511,0.1654492],"study_design_scores_gemma":[0.00001837766,0.00009459002,0.9618341,0.0001529636,0.0002279173,0.00146672,0.01168018,0.01264406,0.003085309,0.0004707888,0.008302343,0.00002273398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960597,0.0005767433,0.000269827,0.0001582319,0.000005570858,0.00001246307,0.0002241801,0.000008881955,0.002684447],"genre_scores_gemma":[0.9987319,0.0002419178,0.0005682209,0.00001694675,0.000006749779,0.000003584097,0.00008231986,0.000002466588,0.0003458399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08122785,"threshold_uncertainty_score":0.1615101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008000544780453625,"score_gpt":0.2181654862105109,"score_spread":0.2101649414300573,"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."}}