{"id":"W4393554766","doi":"10.5281/zenodo.4700263","title":"GLOBMAP global Leaf Area Index since 1981","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","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":[0.0007126239,0.001112066,0.0005372383,0.002492698,0.0002747217,0.0007460724,0.0007866743,0.0003317698,0.01346421],"category_scores_gemma":[0.001006595,0.0001950263,0.0004365472,0.004628773,0.000149613,0.001145486,0.0009439025,0.0009238414,0.01549996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139529,"about_ca_system_score_gemma":0.001536063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02966107,"about_ca_topic_score_gemma":0.01469508,"domain_scores_codex":[0.9995665,0.00006351522,0.00003721914,0.00010769,0.0001641267,0.00006107896],"domain_scores_gemma":[0.9995266,0.000028227,0.00006672768,0.00004428837,0.0003014845,0.00003267183],"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":[0.00008141923,0.00003000424,0.009264317,0.0009668741,0.0001143648,0.00007913466,0.0001623456,0.001140437,0.0008501249,0.005937739,0.8560972,0.125276],"study_design_scores_gemma":[0.00001702565,0.00001141529,0.01483858,0.0001117172,0.00002780675,0.00005565598,0.0000528455,0.0005807561,0.0002108181,0.001227837,0.9828482,0.00001746969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009797869,0.01173142,0.008246138,0.002086143,0.0009076337,0.0004793865,0.871122,0.003169651,0.09245987],"genre_scores_gemma":[0.0436228,0.007499135,0.01508121,0.001336501,0.0002702351,0.0009629065,0.9041536,0.0005435104,0.02653011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02966107,"threshold_uncertainty_score":0.05897683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347624277181624,"score_gpt":0.2324051624621965,"score_spread":0.1976427347440341,"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."}}