{"id":"W7018423226","doi":"","title":"Crop Yield Estimation Using NDVI: A Comparison of Various NDVI Metrics","year":2021,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nucleofection; Hyporeflexia; Dysgeusia; Gestational period; TSG101; Crackles","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":[0.002446772,0.0006496158,0.0004928215,0.002291645,0.0002503533,0.00142501,0.0004654213,0.0002950567,0.0007762272],"category_scores_gemma":[0.004577674,0.0001482664,0.0003515874,0.003181993,0.0001023579,0.001513585,0.0004173729,0.0003024118,0.0003940586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00071263,"about_ca_system_score_gemma":0.0004633426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007059947,"about_ca_topic_score_gemma":0.01235852,"domain_scores_codex":[0.9991296,0.0001759579,0.00007044557,0.0001174649,0.0004746937,0.00003200571],"domain_scores_gemma":[0.9988756,0.0002820868,0.0001219053,0.00007954999,0.0006106646,0.00003023722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003363874,0.000201487,0.1642212,0.0005769478,0.0003354491,0.00009204624,0.0003193324,0.02797542,0.01690108,0.004062481,0.005479563,0.7794986],"study_design_scores_gemma":[0.00005591981,0.0006043863,0.5727585,0.0003878688,0.0003215273,0.0003635995,0.001380453,0.3129933,0.03772648,0.00491383,0.06831973,0.0001745095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6900511,0.0112699,0.2401638,0.0008302548,0.000315135,0.0004174809,0.005999465,0.001835287,0.04911768],"genre_scores_gemma":[0.7658578,0.004826478,0.2182802,0.00008072646,0.0000543535,0.0001637712,0.00540334,0.0003157514,0.005017583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007059947,"threshold_uncertainty_score":0.01403773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319249966792727,"score_gpt":0.2333113793860749,"score_spread":0.2101188797181477,"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."}}