{"id":"W3009573724","doi":"10.1117/12.2538484","title":"Lock-in optical instrumentation for snapshot hyperspectral imaging","year":2020,"lang":"en","type":"article","venue":"","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hyperspectral imaging; Pixel; Snapshot (computer storage); Optics; Image resolution; Computer science; Image sensor; Chopper; Charge-coupled device; Computer vision; Artificial intelligence; Remote sensing; Physics; 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":[0.0005889646,0.000486644,0.0003614624,0.0003918675,0.0004196483,0.0007092073,0.001024837,0.0005759019,0.004550328],"category_scores_gemma":[0.001314305,0.0003303432,0.0001782011,0.0005030212,0.0005397322,0.00105808,0.0009750917,0.001124875,0.001530737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006199798,"about_ca_system_score_gemma":0.0006329411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003397058,"about_ca_topic_score_gemma":0.0007255258,"domain_scores_codex":[0.9993039,0.00007854584,0.00002473847,0.0001892627,0.0003519881,0.00005146644],"domain_scores_gemma":[0.9991457,0.0002250959,0.0001517368,0.0002129663,0.0002131297,0.000051362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001601986,0.00008000428,0.0009408716,0.0002648828,0.00001047741,0.00007125493,0.0001366851,0.0007328612,0.9117697,0.005347975,0.002490011,0.07799502],"study_design_scores_gemma":[0.00003977669,0.0004534973,0.003339149,0.00006430695,0.00002840885,0.0006442008,0.00009305306,0.03222448,0.9121603,0.002157317,0.04871261,0.00008299184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07062221,0.001245945,0.9141055,0.0003403339,0.000318465,0.0003043594,0.0005533703,0.004534011,0.007975885],"genre_scores_gemma":[0.4560435,0.0009753088,0.5338196,0.0005044063,0.0001389743,0.0006226538,0.0006607932,0.0003406697,0.006894099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004550328,"threshold_uncertainty_score":0.01522237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389983660601054,"score_gpt":0.228122998343717,"score_spread":0.2142231617377064,"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."}}