{"id":"W2279626292","doi":"10.1016/j.isprsjprs.2016.02.004","title":"Enhanced detection of gossans using hyperspectral data: Example from the Cape Smith Belt of northern Quebec, Canada","year":2016,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Koneen Säätiö; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Geology; Hyperspectral imaging; Phyllite; Mineralogy; Remote sensing; Geochemistry; Metamorphic rock; Schist","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002149326,0.0005261003,0.0003123295,0.001842029,0.001515154,0.0009287047,0.000542484,0.0004603754,0.002261047],"category_scores_gemma":[0.0003272232,0.0001538441,0.0002201258,0.002701726,0.0005151645,0.0002594327,0.0003378907,0.0003230562,0.0003151117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004793465,"about_ca_system_score_gemma":0.005179283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802689,"about_ca_topic_score_gemma":0.995029,"domain_scores_codex":[0.9998259,0.000009048687,0.00000342382,0.00002277801,0.00006667469,0.0000722084],"domain_scores_gemma":[0.999526,0.00002820448,0.00002281724,0.0000155219,0.000363087,0.00004448289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009135599,0.0004455132,0.6666515,0.0004985825,0.0003739285,0.006530883,0.003287195,0.02692427,0.08612122,0.001960337,0.04340703,0.1628859],"study_design_scores_gemma":[0.00004721873,0.00002159046,0.9686071,0.00004830343,0.00006143133,0.0001967065,0.002554824,0.01548048,0.002080397,0.0001503062,0.01070358,0.00004819295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752153,0.0007089862,0.001307747,0.0007345664,0.00004025948,0.00006675297,0.005335346,0.0002192341,0.01637183],"genre_scores_gemma":[0.9910019,0.0002582892,0.002182809,0.0000827039,0.00001191558,0.0000101104,0.001466982,0.00003135586,0.004953955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0197311,"threshold_uncertainty_score":0.03969455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262802696706425,"score_gpt":0.2239360466854368,"score_spread":0.2013080197183726,"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."}}