{"id":"W2130879020","doi":"10.6084/m9.figshare.928254.v3","title":"Manual to measure and model leaf area index and its spatial variability on local and landscape scale","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ulkoministeriö","keywords":"Scale (ratio); Measure (data warehouse); Index (typography); Geography; Physical geography; Environmental science; Cartography; Remote sensing; Computer science; Data mining","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":[0.001343122,0.001421746,0.000984458,0.002095623,0.0007564473,0.001011824,0.002066071,0.0007936482,0.1337692],"category_scores_gemma":[0.004289686,0.001404529,0.0009099966,0.0009475301,0.0003893748,0.001009213,0.001298369,0.001160068,0.08230651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478765,"about_ca_system_score_gemma":0.0009550779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341067,"about_ca_topic_score_gemma":0.005518217,"domain_scores_codex":[0.9993591,0.00004986909,0.0000822414,0.0002426561,0.0002094841,0.00005677236],"domain_scores_gemma":[0.9965256,0.0009145263,0.0002025996,0.001303745,0.0009213805,0.0001322339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006071202,0.0004253429,0.008733907,0.001128669,0.0001669163,0.0003704852,0.0005263671,0.005369362,0.05503921,0.005276729,0.5384123,0.3839436],"study_design_scores_gemma":[0.0005078315,0.0003116255,0.03593037,0.0003687149,0.0001401815,0.000994734,0.0002013626,0.08429588,0.1095319,0.01169392,0.7555261,0.0004973233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01305133,0.000160709,0.5102763,0.0002727984,0.0002553325,0.002324286,0.1295563,0.3215877,0.02251531],"genre_scores_gemma":[0.08183703,0.0002432356,0.6110043,0.0009564342,0.0001588266,0.01397987,0.1427314,0.08508284,0.0640061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1337692,"threshold_uncertainty_score":0.4475027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524198776759547,"score_gpt":0.2110594947490191,"score_spread":0.1658175069814236,"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."}}