{"id":"W2140269317","doi":"10.1109/igarss.1989.577749","title":"Operational Monitoring Of Forage And Crop Yield","year":2005,"lang":"en","type":"article","venue":"","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatchewan Ministry of Agriculture; Saskatchewan Research Council (Canada)","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Forage; Crop; Yield (engineering); Environmental science; Agricultural engineering; Computer science; Agronomy; Engineering; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006027013,0.000283237,0.0001736681,0.0006163345,0.000202889,0.0003968668,0.0004642582,0.000301721,0.0005645531],"category_scores_gemma":[0.001560567,0.00008338806,0.00008957311,0.0006328877,0.0001900283,0.0005237008,0.0002779385,0.0002371482,0.0002379291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003624306,"about_ca_system_score_gemma":0.0004794929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007068463,"about_ca_topic_score_gemma":0.01308332,"domain_scores_codex":[0.9996376,0.00007254147,0.00002477686,0.0001043004,0.0001179185,0.00004274668],"domain_scores_gemma":[0.9984607,0.000309263,0.0004535562,0.0001491387,0.0004482544,0.0001790826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007816525,0.0004472942,0.679543,0.000143173,0.00009207411,0.00009246746,0.0004810739,0.001252353,0.1345471,0.0004053186,0.001294206,0.1809203],"study_design_scores_gemma":[0.0000273671,0.000743192,0.9688779,0.00001843897,0.00004620183,0.0002089561,0.0003148701,0.00596686,0.01981569,0.0003689832,0.00359456,0.00001689077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871336,0.0002204857,0.008287121,0.00004217304,0.00001265559,0.00004949858,0.001048338,0.0001292346,0.003076912],"genre_scores_gemma":[0.9916456,0.0001272867,0.005711842,0.00004215265,0.0000157584,0.00003784074,0.001343047,0.00001395189,0.001062596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007068463,"threshold_uncertainty_score":0.0140546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433904651896607,"score_gpt":0.2385047853944184,"score_spread":0.2041657388754523,"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."}}