{"id":"W4399199450","doi":"10.1080/07038992.2024.2338357","title":"An Exploration of False Positives Following Multispectral Analysis of Mine Tailings Extent","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Saint Mary's University","funders":"","keywords":"Tailings; False positive paradox; Multispectral image; Geography; Cartography; Mining engineering; True positive rate; Remote sensing; Computer science; Geology; Physical geography; Environmental science; Artificial intelligence; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009558843,0.001193645,0.0007894506,0.002034768,0.001039686,0.002132922,0.00113308,0.001263121,0.0005621366],"category_scores_gemma":[0.02922537,0.0004036097,0.0009340593,0.001218071,0.000928722,0.001453425,0.000764899,0.0008554991,0.0004785974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009286462,"about_ca_system_score_gemma":0.0005843886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007219703,"about_ca_topic_score_gemma":0.0118431,"domain_scores_codex":[0.9936816,0.001691931,0.000534482,0.001422345,0.002243024,0.000426704],"domain_scores_gemma":[0.9535389,0.03368044,0.003277521,0.003340227,0.005915143,0.0002477179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001266614,0.0004016728,0.592158,0.0007188632,0.0004598702,0.004673997,0.003368815,0.06873453,0.03785329,0.002497039,0.006300543,0.2815666],"study_design_scores_gemma":[0.00003459866,0.0004678645,0.2189213,0.0002951702,0.0005042866,0.006752516,0.002011287,0.6557525,0.09835175,0.006704349,0.01005812,0.0001462613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.790645,0.001096349,0.2010918,0.0006119102,0.0002681971,0.0002418342,0.0006720583,0.001715046,0.00365772],"genre_scores_gemma":[0.9575391,0.00013179,0.04010252,0.0002692128,0.00002433867,0.00003981594,0.0005308306,0.000107946,0.00125447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009558843,"threshold_uncertainty_score":0.05055261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201808097637259,"score_gpt":0.2571479724279064,"score_spread":0.2351298914515338,"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."}}