{"id":"W4405954804","doi":"10.4095/pmrkmpbtuy","title":"Monthly leaf area index of Canada from medium-resolution satellite imagery","year":2024,"lang":"fr","type":"report","venue":"","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite imagery; Remote sensing; Satellite; Index (typography); Geography; Cartography; Environmental science; Physical geography; Computer science; World Wide Web; Astronomy; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006518834,0.0005231916,0.0007863051,0.00002788306,0.0001639212,0.0001136982,0.0004695235,0.0005035626,0.007229981],"category_scores_gemma":[0.000152235,0.000193718,0.0003502348,0.0003677574,0.0002102492,0.0001185042,0.0002580319,0.0005280335,0.00006787448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000812014,"about_ca_system_score_gemma":0.001498148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9728733,"about_ca_topic_score_gemma":0.9664711,"domain_scores_codex":[0.9955308,0.0001305092,0.001059696,0.0008173742,0.001776975,0.0006845727],"domain_scores_gemma":[0.9985067,0.0001783,0.0002706775,0.0001959881,0.0005397589,0.0003085848],"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":[0.0002784099,0.0004563019,0.05865217,0.00149459,0.001455436,0.0007292592,0.0003543851,0.0003616486,0.1312581,0.0005653699,0.4826077,0.3217867],"study_design_scores_gemma":[0.0001125284,0.0002054228,0.1075154,0.0009935406,0.0002305085,0.00000916268,0.0007821095,0.0003968591,0.01219352,0.000822609,0.8760279,0.0007104502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3713786,0.2086557,0.0000135079,0.03770136,0.01418436,0.001216618,0.002711938,0.0001472896,0.3639906],"genre_scores_gemma":[0.8700436,0.005022235,0.00004578962,0.0005392546,0.001805416,0.00003152778,0.000712621,0.000008509587,0.1217911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4986649,"threshold_uncertainty_score":0.9936776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05019393019729155,"score_gpt":0.2103049263754156,"score_spread":0.160110996178124,"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."}}