{"id":"W4283584976","doi":"10.3390/agronomy12071532","title":"Optimizing Seeding Ratio for Semi-Leafless and Leafed Pea Mixture with Precise UAV Quantification of Crop Lodging","year":2022,"lang":"en","type":"article","venue":"Agronomy","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Monoculture; Agronomy; Seeding; Yield (engineering); Mathematics; Canopy; Interception; Biology; Crop; Sowing; Horticulture; Botany","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":[],"consensus_categories":[],"category_scores_codex":[0.0003651298,0.00009873912,0.0001636932,0.00001303855,0.0003723678,0.00007891782,0.0001517317,0.00002938706,0.0001119302],"category_scores_gemma":[0.00001672506,0.00004399568,0.00004483691,0.00009793707,0.00003598168,0.0002511993,0.00007565621,0.00009190202,0.000001348854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000394378,"about_ca_system_score_gemma":0.00001078275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002662571,"about_ca_topic_score_gemma":0.00006458758,"domain_scores_codex":[0.9992126,0.00005567457,0.0002330397,0.0002585635,0.00008917175,0.0001509253],"domain_scores_gemma":[0.9993963,0.0001931582,0.0002709908,0.00005333565,0.00004915272,0.00003703968],"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":[0.00078399,0.0002018872,0.01252986,0.0001653483,0.0001835674,0.000002304657,0.005217534,0.009985857,0.8995349,0.002013078,0.007118563,0.06226305],"study_design_scores_gemma":[0.0034398,0.004074099,0.09305624,0.0006665518,0.000397583,0.0001886218,0.07743078,0.0578945,0.06710049,0.0002998612,0.6930685,0.002382969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951723,0.0003503647,0.002334575,0.0007210949,0.00009701572,0.0004310975,0.00002150745,0.00002494558,0.0008471159],"genre_scores_gemma":[0.9980604,0.000008113067,0.0008279073,0.00003508735,0.0001237856,0.00009755775,0.00005704855,0.000001736896,0.0007883591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324345,"threshold_uncertainty_score":0.286399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949304951100922,"score_gpt":0.2345360353342375,"score_spread":0.2050429858232283,"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."}}