{"id":"W3110663240","doi":"10.1117/1.jrs.14.047505","title":"GoSPo: a goniospectropolarimeter to assess reflectance, transmittance, and surface polarization as related to leaf optical properties","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Remote Sensing","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Transmittance; Remote sensing; Goniometer; Polarizer; Spectrometer; Integrating sphere; Optics; Polarization (electrochemistry); Materials science; Near-infrared spectroscopy; Polarimetry; Polarimeter; Reflectivity; Environmental science; Scattering; Optoelectronics; Physics; Chemistry; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003529726,0.0001730362,0.0003226425,0.00001811673,0.0001772142,0.0001401352,0.0001248665,0.00009771463,0.00001603222],"category_scores_gemma":[0.00008224423,0.00006983941,0.00007349265,0.000474795,0.0000364197,0.0001097554,0.00004509101,0.0003154973,0.00002036161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006196073,"about_ca_system_score_gemma":0.00002471352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003571602,"about_ca_topic_score_gemma":0.00002459227,"domain_scores_codex":[0.9985384,0.00004771457,0.0004488935,0.0002633222,0.0004156149,0.0002860015],"domain_scores_gemma":[0.9992486,0.00003156444,0.0001346918,0.00004520746,0.0001915261,0.0003484152],"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":[0.0005590435,0.00001212165,0.00002487913,0.00001107537,0.00002849139,0.0000133256,0.000744215,0.0001531378,0.9276921,0.0000984976,0.0000777655,0.07058535],"study_design_scores_gemma":[0.001109031,0.003464478,0.006383286,0.0004066681,0.0001456859,0.000282237,0.002365103,0.003324354,0.9542053,0.001326739,0.0261065,0.00088067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788604,0.0001885284,0.0007762157,0.0172176,0.00008870319,0.0002843541,8.748173e-7,0.00002858224,0.002554761],"genre_scores_gemma":[0.9838344,0.00002724215,0.01317281,0.002702171,0.0001809295,3.620326e-8,7.088565e-7,0.000004131472,0.0000775709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06970468,"threshold_uncertainty_score":0.2847968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04088427224152875,"score_gpt":0.2341475583212254,"score_spread":0.1932632860796967,"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."}}