{"id":"W4233262437","doi":"10.4016/29096.01","title":"CAMELEON - adaptive camouflage","year":2011,"lang":"en","type":"dataset","venue":"SciVee","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Camouflage; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006556447,0.003662356,0.001523474,0.002421362,0.0007280719,0.001293152,0.004048477,0.002583883,0.01268023],"category_scores_gemma":[0.001758639,0.0005704932,0.002320025,0.00278308,0.0004846511,0.001046271,0.001734945,0.001475066,0.02281482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111931,"about_ca_system_score_gemma":0.001000663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03453067,"about_ca_topic_score_gemma":0.08627737,"domain_scores_codex":[0.9992524,0.0001046806,0.00006116187,0.0002304538,0.0002217714,0.0001295585],"domain_scores_gemma":[0.9994486,0.00009849222,0.00005754432,0.0001904058,0.000142859,0.00006207492],"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":[0.0004010012,0.0001502764,0.003278903,0.001807697,0.0001857634,0.0001071276,0.00004159398,0.002792732,0.0009691707,0.0006572149,0.9760118,0.01359683],"study_design_scores_gemma":[0.000715783,0.0001566549,0.01572285,0.0004881544,0.0001496888,0.0003966456,0.0001633894,0.007576224,0.003716725,0.002709831,0.968082,0.0001220272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001589917,0.0004403535,0.0005765227,0.00014671,0.00006022677,0.00006020702,0.9930883,0.00287169,0.001166015],"genre_scores_gemma":[0.001997206,0.0001040819,0.001251363,0.00005782568,0.000006641312,0.00008904394,0.9958708,0.00008361434,0.0005394745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03453067,"threshold_uncertainty_score":0.06865937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609427767480054,"score_gpt":0.1996526023423192,"score_spread":0.1735583246675186,"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."}}