{"id":"W62213137","doi":"","title":"BOREAS TE-9 NSA Canopy Biochemistry","year":2000,"lang":"en","type":"article","venue":"NASA Technical Reports Server (NASA)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Canopy; Oak Ridge National Laboratory; Remote sensing; Environmental science; Data set; ASCII; Lignin; Botany; Geography; Computer science; Biology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002963767,0.0002486282,0.0002389491,0.00002845471,0.0001418212,0.00005523136,0.0003077564,0.0003249039,0.006746361],"category_scores_gemma":[0.00005490541,0.0002231537,0.0001519893,0.0003610858,0.0002004975,0.0001832576,0.0001781603,0.0003615775,0.0003026502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003267187,"about_ca_system_score_gemma":0.00004524164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007679783,"about_ca_topic_score_gemma":0.0002436996,"domain_scores_codex":[0.9977064,0.00002405561,0.0005376368,0.0006386848,0.0006330346,0.00046018],"domain_scores_gemma":[0.9986662,0.00002898949,0.0001415513,0.0008786937,0.00001212948,0.0002724784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001162333,0.001048211,0.7820613,0.00005373323,0.00008778874,0.005082336,0.0001051569,0.006404251,0.1026608,0.0003267498,0.04082551,0.06122797],"study_design_scores_gemma":[0.0008339425,0.0002097099,0.3710273,0.0001429363,0.0001593845,0.005955797,0.00002401674,0.004014093,0.0251465,0.007535169,0.5829008,0.002050391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161325,0.0000593213,0.00003069444,0.0002829074,0.000100209,0.0001928666,0.00001893063,0.0002683981,0.08291417],"genre_scores_gemma":[0.9890342,0.00004796745,0.0006914485,0.0003413277,0.00005872614,0.00003325872,0.0001019622,0.00002352345,0.009667588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5420752,"threshold_uncertainty_score":0.9941616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004854764322585978,"score_gpt":0.2051258068501665,"score_spread":0.2002710425275805,"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."}}