{"id":"W2110645202","doi":"10.1109/36.921425","title":"Four-Scale Linear Model for Anisotropic Reflectance (FLAIR) for plant canopies. I. Model description and partial validation","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Bidirectional reflectance distribution function; Remote sensing; Canopy; Scale (ratio); Computer science; Reflectivity; Inversion (geology); Tree canopy; Environmental science; Optics; Geology; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065471,0.0007064951,0.0003826764,0.0005270023,0.000512418,0.0008285263,0.001834296,0.001340393,0.0024201],"category_scores_gemma":[0.001588914,0.000371056,0.001243229,0.0005657306,0.0003971336,0.001032486,0.0005479761,0.0009419475,0.001317971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043614,"about_ca_system_score_gemma":0.0007467769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642706,"about_ca_topic_score_gemma":0.01331418,"domain_scores_codex":[0.9997336,0.00007955974,0.00001111055,0.00005980975,0.00008687773,0.00002906628],"domain_scores_gemma":[0.9995219,0.0002278182,0.00004945783,0.00006731635,0.0001190529,0.00001452379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002901292,0.0000377395,0.001158442,0.00006289721,0.00002771993,0.0000793793,0.00007504366,0.9616464,0.002551116,0.01294876,0.001741304,0.01964224],"study_design_scores_gemma":[0.000001877953,0.000007013507,0.000199553,0.000003147644,0.000003029514,0.00001548958,0.000006316639,0.9965625,0.0002549959,0.001809684,0.001129286,0.000007016799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0259082,0.0002807162,0.9619761,0.0002829433,0.00005773328,0.0001115556,0.0004323724,0.001175276,0.009775214],"genre_scores_gemma":[0.7052876,0.0006626854,0.2728374,0.0002788574,0.00006748583,0.0006192367,0.001209968,0.0006933562,0.0183435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01642706,"threshold_uncertainty_score":0.03266293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596336953178823,"score_gpt":0.2477540689598857,"score_spread":0.2117906994280974,"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."}}