{"id":"W2740591417","doi":"10.4095/219917","title":"LAI Measurements in White Beans and Corn Canopies with Two Optical Instruments","year":2001,"lang":"en","type":"report","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"White (mutation); Geography; Environmental science; Forestry; Agronomy; Remote sensing; Mathematics; Biology","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":[0.0004452025,0.0002266054,0.000169586,0.0009979208,0.0003028204,0.0002541169,0.0001692741,0.000158508,0.000264153],"category_scores_gemma":[0.0005104138,0.0001104249,0.0002095977,0.0007411971,0.0001047018,0.0002076343,0.0001999915,0.0001416744,0.00007956695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745304,"about_ca_system_score_gemma":0.0001713876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02788765,"about_ca_topic_score_gemma":0.06298275,"domain_scores_codex":[0.9997101,0.00003412864,0.00001697319,0.00008069481,0.000110695,0.00004740027],"domain_scores_gemma":[0.9996525,0.00004445111,0.00007737477,0.00002297363,0.0001354714,0.00006724603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002142842,0.0003066186,0.4632826,0.0001358278,0.0001808251,0.0002219595,0.0008577038,0.001107252,0.5049098,0.0001017924,0.0003843373,0.02636852],"study_design_scores_gemma":[0.00001062742,0.0002213345,0.9792666,0.000003378931,0.00002677349,0.0001153592,0.0002269213,0.0008535902,0.01895068,0.00001562697,0.0002988231,0.0000102706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985806,0.0001108554,0.0004932773,0.000003487412,0.000001573085,0.000007665305,0.0001521659,0.00001567205,0.0006347272],"genre_scores_gemma":[0.9971053,0.00007375817,0.001711262,0.00001237153,0.000001241257,0.0000128438,0.0005009831,0.000007942866,0.0005743097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02788765,"threshold_uncertainty_score":0.05545062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240688641318874,"score_gpt":0.2594257897113457,"score_spread":0.227018903298157,"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."}}