{"id":"W2981737901","doi":"10.4095/219665","title":"Development of Thematic Browse Products to Aid in the Analysis of National Satellite Image Data Sets","year":2000,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Thematic map; Satellite; Satellite image; Remote sensing; Computer science; Geography; Information retrieval; Cartography; 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":[0.00349914,0.0005227149,0.0004975761,0.002719802,0.0004452371,0.001280793,0.0007218276,0.0004026443,0.005080066],"category_scores_gemma":[0.008307736,0.0005516533,0.000581265,0.001606575,0.0003228124,0.00233757,0.001335582,0.0006747607,0.00264257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091192,"about_ca_system_score_gemma":0.0007067541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002693479,"about_ca_topic_score_gemma":0.004069239,"domain_scores_codex":[0.9994147,0.000136831,0.00004944819,0.00008512284,0.0002856924,0.00002819693],"domain_scores_gemma":[0.9960545,0.001471577,0.0001553586,0.0007190842,0.001424094,0.0001754858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005014638,0.0003898245,0.008246483,0.000584988,0.0001751121,0.0006586998,0.001497858,0.007037579,0.08066782,0.01314112,0.06353903,0.8235599],"study_design_scores_gemma":[0.0003930026,0.0007883181,0.0265526,0.0003879151,0.0002594097,0.002322205,0.001314907,0.4757577,0.1454853,0.02185114,0.3246056,0.0002818772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02570887,0.0001566729,0.9266961,0.0002409096,0.00004650321,0.0009515094,0.00485413,0.03574766,0.005597719],"genre_scores_gemma":[0.01606919,0.0001171399,0.974736,0.00004244431,0.00001393958,0.0003234289,0.006250991,0.0007985427,0.00164835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005080066,"threshold_uncertainty_score":0.01850539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180228962001566,"score_gpt":0.3210615244514157,"score_spread":0.2030386282512592,"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."}}