{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001793501,0.0002595249,0.0002944307,0.0001315302,0.0001731628,0.00005927433,0.0003634538,0.0002691507,0.007204304],"category_scores_gemma":[0.00003572458,0.0001908908,0.0000967571,0.000136447,0.0001085678,0.00008247274,0.00001600095,0.0004126858,0.006443322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004044402,"about_ca_system_score_gemma":0.00009570109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05141396,"about_ca_topic_score_gemma":0.05341935,"domain_scores_codex":[0.9986799,0.00009379266,0.0001811827,0.0004045278,0.0002674714,0.0003730828],"domain_scores_gemma":[0.999116,0.00006474502,0.0001258802,0.0004814372,0.00003648727,0.0001754744],"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":[0.0000300367,0.00000673692,0.0002090541,0.00001485546,0.000021737,0.0001111045,0.00003858606,0.0000127845,1.111042e-7,7.745256e-7,0.9894593,0.01009485],"study_design_scores_gemma":[0.0001142465,0.0001453662,0.009419694,0.00004899468,0.00004646264,0.00002423139,0.00003641082,0.0001338439,0.000003182025,0.0001543882,0.9895748,0.0002983977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007718632,0.0004407743,0.000002342684,0.00001925491,0.001357359,0.0001204573,0.9832802,0.00003953249,0.01396815],"genre_scores_gemma":[0.001037074,0.0003487872,0.000215673,0.0002145103,0.000261005,1.001711e-7,0.9968099,0.000004248823,0.001108692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01352965,"threshold_uncertainty_score":0.9943303,"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."}}