{"id":"W4402072937","doi":"10.5376/lgg.2024.15.0018","title":"The Role of Genomics in Advancing Pulse Crop Productivity","year":2024,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Genomics; Crop productivity; Crop; Biotechnology; Crop production; Biology; Environmental science; Business; Natural resource economics; Agricultural engineering; Agriculture; Agronomy; Engineering; Genome; Genetics; Economics; Gene; Ecology; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002170251,0.00008066652,0.0001030256,0.000009263113,0.0001202488,0.00005523989,0.00009112587,0.00003538387,0.000004524746],"category_scores_gemma":[0.00001365237,0.00003127762,0.00002762755,0.0001146848,0.00007250711,0.00002031249,0.0000815751,0.00006549414,0.000003392557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001779823,"about_ca_system_score_gemma":0.00001693197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005991927,"about_ca_topic_score_gemma":0.0008703016,"domain_scores_codex":[0.9993828,0.00002283786,0.0001714042,0.0001850223,0.00006377287,0.0001741796],"domain_scores_gemma":[0.9997446,0.00012356,0.00003319867,0.00004198338,0.00002485077,0.00003179447],"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":[0.000009782348,0.00001135857,0.004042246,0.000008386407,0.00001317022,0.000001449174,0.0004010738,0.0001349179,0.5855492,0.0005237567,0.00002791106,0.4092768],"study_design_scores_gemma":[0.0001198033,0.0001728909,0.1893426,0.0000279406,0.00003177772,0.00002440286,0.002398111,0.005185258,0.07673836,0.01373219,0.7119176,0.0003090334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733504,0.02521514,0.000007297097,0.0005846955,0.0001197523,0.0001280451,0.00004065113,0.000009560169,0.0005444719],"genre_scores_gemma":[0.9934009,0.006063231,0.0002136307,0.00002459668,0.0001251321,0.000006199144,0.000006427394,0.000001090437,0.0001587895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7118897,"threshold_uncertainty_score":0.1275464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00761291739636524,"score_gpt":0.2061219992256043,"score_spread":0.1985090818292391,"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."}}