{"id":"W1998513521","doi":"10.1016/0967-0653(93)94856-t","title":"10.1016/0967-0653(93)94856-t","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiance; Multispectral image; Thematic Mapper; Remote sensing; Change detection; Pixel; Satellite; Thematic map; Multispectral pattern recognition; Change analysis; Geography; Satellite imagery; Environmental science; Cartography; Physical geography; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001248137,0.0001169363,0.0001323003,0.00004855445,0.000118119,0.00007029095,0.0001479626,0.00005525043,0.9986055],"category_scores_gemma":[0.00001732782,0.00009103721,0.00004823098,0.0001662577,0.00002620832,0.0000834114,0.000003927339,0.00009311245,0.9982499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002146572,"about_ca_system_score_gemma":0.0000191585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008255062,"about_ca_topic_score_gemma":0.0000207364,"domain_scores_codex":[0.9991598,0.00004473966,0.0001272443,0.0002087203,0.0001698554,0.0002896236],"domain_scores_gemma":[0.9995032,0.00005423952,0.00001730026,0.0002123927,0.00001658232,0.0001963097],"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":[0.00004239254,0.000006173429,0.000004699315,0.000001777406,0.000005817086,0.00001058478,0.00001760417,0.0008231922,7.761451e-7,3.719929e-8,0.1370281,0.8620589],"study_design_scores_gemma":[0.0001232688,0.0001188221,0.001947443,0.00001026067,0.000008298387,0.00002122902,0.000001325233,0.003514962,0.00001074281,0.000008927836,0.9940811,0.0001536683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006687687,0.00009811144,3.38483e-7,0.0002402108,0.00000449111,0.00007767287,0.00002467866,0.0001049151,0.9927619],"genre_scores_gemma":[0.001797334,8.938734e-7,0.0001569743,0.0001018232,0.0001878022,7.10508e-8,0.00008493536,0.000004703124,0.9976655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8619052,"threshold_uncertainty_score":0.371239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006035185696252138,"score_gpt":0.1495198858462652,"score_spread":0.143484700150013,"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."}}