{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003144333,0.0003090112,0.0003800782,0.00007242017,0.00007435506,0.00005159388,0.0001204172,0.0001831177,0.0001894657],"category_scores_gemma":[0.00002749938,0.0002158615,0.00003425389,0.0001998651,0.0002581819,0.0001020877,0.0001699531,0.0003189288,0.00004369023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005898234,"about_ca_system_score_gemma":0.0001071342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01431353,"about_ca_topic_score_gemma":0.1679233,"domain_scores_codex":[0.9976012,0.00003058773,0.0003026212,0.0005291012,0.001144626,0.0003918581],"domain_scores_gemma":[0.9994612,0.00001283533,0.0001055693,0.0002553164,0.00002109876,0.0001439732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001570042,0.00004569049,0.9434619,0.00001690911,0.00003470231,0.00007223376,0.0001123963,0.00002863283,0.00008352153,8.30657e-7,0.001626391,0.05450109],"study_design_scores_gemma":[0.0009174644,0.0001023984,0.9764584,0.0002917746,0.00007871279,0.0004277135,0.0001556291,0.00004772339,0.0002001737,0.00003293719,0.02077837,0.0005087496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3025224,0.00004743405,0.00002386345,0.0001071974,0.0002068646,0.0002126067,0.000001001337,0.00002540158,0.6968532],"genre_scores_gemma":[0.9775462,0.0002501828,0.002146106,0.0002081236,0.0001025018,0.000001978507,0.00002207094,0.00004292289,0.01967992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6771733,"threshold_uncertainty_score":0.9922503,"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."}}