{"id":"W2496020355","doi":"10.1364/isa.2016.iw2f.1","title":"Developments in Thermal HSI Sensing at Defence R&amp;D Canada - Valcartier Research Centre","year":2016,"lang":"en","type":"article","venue":"","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Hyperspectral imaging; Vapours; Research centre; Remote sensing; Environmental science; Computer science; Geography; Library science","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":[0.003126241,0.001476389,0.0007134825,0.002806505,0.0009686928,0.002639778,0.001472728,0.001206563,0.01302104],"category_scores_gemma":[0.00144468,0.0006237645,0.0006787646,0.002653755,0.001014864,0.001776126,0.001604219,0.002595843,0.004706556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003855792,"about_ca_system_score_gemma":0.005979239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04158802,"about_ca_topic_score_gemma":0.06304024,"domain_scores_codex":[0.9968912,0.0002881147,0.00005490506,0.0006825432,0.001773194,0.0003100943],"domain_scores_gemma":[0.9966393,0.0005016989,0.0001426419,0.0002628309,0.002040293,0.0004132727],"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":[0.0002627212,0.000255757,0.004240079,0.0006572049,0.0000713672,0.0002172431,0.000617361,0.005823449,0.442857,0.01362741,0.0130798,0.5182908],"study_design_scores_gemma":[0.00004630617,0.0006094763,0.01265479,0.0002622492,0.0000900007,0.0007734498,0.0004168295,0.02738104,0.5347659,0.002460625,0.4203661,0.0001732884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09831369,0.04694942,0.6082222,0.009517471,0.001858232,0.000781765,0.003403173,0.01225541,0.2186987],"genre_scores_gemma":[0.2605248,0.02691924,0.5875767,0.001600489,0.0005306604,0.0003101455,0.004277307,0.001353767,0.1169068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.958412,"threshold_uncertainty_score":0.08269191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679675087948389,"score_gpt":0.2429868756857088,"score_spread":0.216190124806225,"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."}}