{"id":"W4299612158","doi":"","title":"Characterization, validation and intercomparison of clumping index maps from POLDER, MODIS, and MISR satellite data over references sites","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Index (typography); Satellite; Environmental science; Remote sensing; Meteorology; Climatology; Computer science; Geography; Geology; Engineering","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":[0.002504248,0.0005521449,0.0004037909,0.002390661,0.0007244301,0.001560498,0.0008172098,0.000965118,0.0007360339],"category_scores_gemma":[0.004693507,0.000251816,0.0005688306,0.001664501,0.0004116371,0.001291394,0.0006736638,0.0005042581,0.0004874009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007790023,"about_ca_system_score_gemma":0.0009038614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02492158,"about_ca_topic_score_gemma":0.02299825,"domain_scores_codex":[0.9992726,0.0001096707,0.0000835881,0.0002339763,0.0001949589,0.0001050593],"domain_scores_gemma":[0.9961336,0.000704606,0.0004644582,0.0009576574,0.001566415,0.0001733088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001569261,0.001016065,0.5923657,0.0003261138,0.0003333742,0.0004600714,0.00175334,0.07227359,0.1095062,0.001192082,0.00696721,0.2122371],"study_design_scores_gemma":[0.0002063313,0.000165783,0.7305678,0.0000924318,0.0002273986,0.0001991362,0.0007592544,0.2147465,0.04535568,0.0006405474,0.006948452,0.00009081593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846545,0.0001775763,0.008516652,0.0001091176,0.00006357601,0.0001182039,0.003826694,0.0005572252,0.001976284],"genre_scores_gemma":[0.9789064,0.00006548279,0.01359964,0.00003856251,0.00001727154,0.00006839396,0.006745611,0.0001377378,0.0004209268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02492158,"threshold_uncertainty_score":0.04955304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04693575499597099,"score_gpt":0.2440288666890132,"score_spread":0.1970931116930422,"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."}}