{"id":"W4410589933","doi":"10.1007/978-3-031-92805-5_21","title":"Hyperspectral Imaging and Computer Vision Based Remote Monitoring of $$SO_2$$ Emissions in Maritime Vessels","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Hyperspectral imaging; Computer science; Remote sensing; Computer vision; Artificial intelligence; Geology","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":[0.0001609709,0.0003398478,0.0001890924,0.0004786423,0.0001460056,0.0005336875,0.0004121364,0.0005819181,0.00439042],"category_scores_gemma":[0.0001217792,0.0002539026,0.0003377656,0.0006217186,0.0003179377,0.0006899238,0.0002988982,0.0003628373,0.0006751749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316259,"about_ca_system_score_gemma":0.0001655061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314202,"about_ca_topic_score_gemma":0.005701794,"domain_scores_codex":[0.9998894,0.000009883197,0.000002109848,0.00002732935,0.00006128379,0.00001002564],"domain_scores_gemma":[0.9999565,0.0000216638,0.000004362538,0.000003207522,0.00001140531,0.000002761189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002711505,0.0001725503,0.005275567,0.0005135319,0.00007950029,0.0002250604,0.0002021261,0.02543428,0.289187,0.01281063,0.01280497,0.6530237],"study_design_scores_gemma":[0.00002710129,0.0005389517,0.0969483,0.0001693806,0.0001229817,0.0015504,0.0005022739,0.362597,0.3166408,0.02374591,0.1970013,0.0001557056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3499039,0.04909575,0.3823876,0.002793584,0.001297308,0.0001134643,0.001113661,0.001297368,0.2119974],"genre_scores_gemma":[0.6339332,0.02548013,0.1601476,0.0006601218,0.000812097,0.00007088666,0.001125208,0.0002431672,0.1775278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00439042,"threshold_uncertainty_score":0.01468742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561663371554087,"score_gpt":0.2778520647580945,"score_spread":0.2622354310425536,"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."}}