{"id":"W2470558416","doi":"10.4095/296204","title":"Moderate resolution time series data management and analysis: automated large area mosaicking and quality control","year":2015,"lang":"en","type":"report","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Series (stratigraphy); Computer science; Time series; Resolution (logic); Data mining; Remote sensing; Artificial intelligence; Geography; Geology; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006098325,0.0008447466,0.0008622122,0.00320243,0.0007351034,0.002224253,0.001706846,0.0005654123,0.003579734],"category_scores_gemma":[0.01249595,0.0006126874,0.0009428028,0.004446912,0.0004930569,0.00189078,0.00198357,0.001028784,0.003012097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971192,"about_ca_system_score_gemma":0.002415698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270995,"about_ca_topic_score_gemma":0.01433814,"domain_scores_codex":[0.9970146,0.0005328154,0.0003561724,0.0005489163,0.001383081,0.000164357],"domain_scores_gemma":[0.9934495,0.0007940424,0.0006668927,0.001570814,0.003334049,0.0001848077],"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":[0.0002965392,0.0002350933,0.01254799,0.0003130143,0.0001944635,0.0001008797,0.0004209169,0.020077,0.03150298,0.006080607,0.03619317,0.8920373],"study_design_scores_gemma":[0.0001589154,0.0001390481,0.03093139,0.000112248,0.0001083002,0.0002250839,0.0002543842,0.8118993,0.04818194,0.01454921,0.09329142,0.0001486642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008911996,0.0003616044,0.9763498,0.0001818947,0.00007605109,0.0004511145,0.002825303,0.009610491,0.00123177],"genre_scores_gemma":[0.04647141,0.0002525915,0.9406757,0.00008581692,0.0000674576,0.000734106,0.009591057,0.000801001,0.001320908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01270995,"threshold_uncertainty_score":0.03225142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939300562278463,"score_gpt":0.2947593074664764,"score_spread":0.2453663018436918,"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."}}