{"id":"W2120412088","doi":"10.1145/1143997.1144138","title":"Genetic programming for agricultural purposes","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Genetic programming; Agriculture; Computer science; Artificial intelligence; Biology; Ecology","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":[0.0007379066,0.0008303777,0.0006192093,0.0004103541,0.0003228108,0.000961469,0.0007399798,0.0008646301,0.00670433],"category_scores_gemma":[0.00267384,0.0002804438,0.000638984,0.0009295337,0.0007821431,0.0005400993,0.0006919931,0.001460748,0.001104733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006411294,"about_ca_system_score_gemma":0.0009612953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002469884,"about_ca_topic_score_gemma":0.002068108,"domain_scores_codex":[0.9996731,0.0001485617,0.00001500732,0.00007144231,0.00006390625,0.00002799803],"domain_scores_gemma":[0.9992841,0.0005410004,0.0000391267,0.00003844061,0.00008173718,0.0000157174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003870578,0.00007062522,0.0005268528,0.0002251617,0.00007533267,0.0001165624,0.0001237605,0.6518425,0.001095953,0.2018284,0.006787672,0.1372685],"study_design_scores_gemma":[0.00003929804,0.00004236337,0.0001528307,0.0000595704,0.00002150365,0.00004688469,0.00003205104,0.7748712,0.0005489183,0.1986697,0.02550176,0.00001383988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004801303,0.001008594,0.9730172,0.0007374945,0.0001425016,0.00007162744,0.0001392096,0.0003430728,0.01973895],"genre_scores_gemma":[0.2036956,0.002416033,0.7664974,0.0007467635,0.0002491636,0.0007783603,0.0005140552,0.0003306391,0.02477194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00670433,"threshold_uncertainty_score":0.02242821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004369885007538297,"score_gpt":0.1848518209230768,"score_spread":0.1804819359155385,"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."}}