{"id":"W2981544086","doi":"10.4095/298882","title":"Leaf area index","year":2016,"lang":"en","type":"report","venue":"","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Index (typography); Geography; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260081,0.0005965948,0.0004905882,0.001521594,0.000332268,0.0004656827,0.0006646474,0.0002245673,0.0301244],"category_scores_gemma":[0.0005974541,0.000122516,0.0002669595,0.001299421,0.0001582062,0.0004156693,0.0004220644,0.0003942906,0.02255351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003654506,"about_ca_system_score_gemma":0.0002222034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128556,"about_ca_topic_score_gemma":0.003874767,"domain_scores_codex":[0.9995317,0.00002887471,0.00002344741,0.0001215415,0.0002671943,0.0000272748],"domain_scores_gemma":[0.9996485,0.00003615714,0.00006106183,0.00005787065,0.0001433768,0.00005313124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001303316,0.001031568,0.3105369,0.000400141,0.0002788018,0.0006378752,0.0003309341,0.001669144,0.1478164,0.003180292,0.1311,0.4017146],"study_design_scores_gemma":[0.00004470325,0.0003453215,0.7888415,0.0000481613,0.00007695001,0.001859829,0.0001420319,0.002813422,0.03082644,0.001567216,0.1733811,0.00005334026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.3409384,0.002424583,0.02259892,0.0002718647,0.0003510392,0.001286993,0.1899663,0.00426401,0.437898],"genre_scores_gemma":[0.6006942,0.001669929,0.01819539,0.0003475317,0.0002368783,0.0008778105,0.1810409,0.0006883892,0.196249],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0301244,"threshold_uncertainty_score":0.1007761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159110393360828,"score_gpt":0.245920750570623,"score_spread":0.1300097112345402,"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."}}