{"id":"W28773368","doi":"10.1006/bioe.2002.0128","title":"PA—Precision Agriculture","year":2002,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Sowing; Manure; Hyperspectral imaging; Agriculture; Environmental science; Decision tree; Precision agriculture; Remote sensing; Growing season; Agronomy; Agricultural engineering; Mathematics; Geography; Engineering; Computer science; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007989148,0.0001612903,0.0001301434,0.00002095589,0.00005698196,0.00004318705,0.0001663248,0.0001188552,0.000384825],"category_scores_gemma":[0.0000369882,0.0001095071,0.00005976382,0.0002998706,0.00001147408,0.0001191761,0.00007198849,0.0001285113,0.0018784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369651,"about_ca_system_score_gemma":3.547291e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000048272,"about_ca_topic_score_gemma":0.000007882039,"domain_scores_codex":[0.9990382,0.00001476825,0.0001688789,0.0002478276,0.0002810583,0.000249237],"domain_scores_gemma":[0.9996135,0.0000234217,0.00003993703,0.0002170356,0.000005791953,0.00010035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[9.265135e-7,0.00003515007,0.001315945,0.00002951688,0.00001442156,0.00003221043,0.000404792,0.02782773,0.8586085,0.00005133784,0.1062672,0.005412262],"study_design_scores_gemma":[0.0003422289,0.00005312917,0.03254525,0.0002164434,0.00001790838,0.000340129,0.0000780585,0.06837876,0.03540736,0.000005248982,0.8618142,0.0008012864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506969,0.000641498,0.001107531,0.0003265175,0.001800015,0.0004604122,0.000005315656,0.0007152154,0.04424663],"genre_scores_gemma":[0.9948879,0.00001693571,0.002004783,0.00002467152,0.0002230586,0.000001701609,0.000002428349,0.00001579205,0.002822679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8232012,"threshold_uncertainty_score":0.9988987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005471799016695264,"score_gpt":0.1457573188461091,"score_spread":0.1402855198294138,"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."}}