{"id":"W4395689830","doi":"10.1016/j.heliyon.2024.e30397","title":"Impact of positive selection technology on seed yam productivity","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Menzies School of Health Research; Bill and Melinda Gates Foundation; Ministry of Agriculture and Food","keywords":"Productivity; Cropping; Agricultural science; Propensity score matching; Matching (statistics); Business; Selection (genetic algorithm); Agricultural economics; Marketing; Biotechnology; Economics; Agriculture; Mathematics; Geography; Biology; Economic growth; Statistics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062748,0.0001383556,0.000140741,0.0002536797,0.0002276492,0.0003438269,0.0001015381,0.0001719543,0.00178298],"category_scores_gemma":[0.003508024,0.00005090347,0.0002762408,0.0002931366,0.0002463244,0.0001788635,0.0002990062,0.0002227043,0.0001324868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995178,"about_ca_system_score_gemma":0.0003346931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007164864,"about_ca_topic_score_gemma":0.001303295,"domain_scores_codex":[0.9992188,0.0004379037,0.00004680154,0.00008604985,0.0001323887,0.00007809609],"domain_scores_gemma":[0.997965,0.0007946774,0.000848008,0.0001378781,0.00009116378,0.0001633334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007767556,0.0006153078,0.9140726,0.00007401538,0.0001919983,0.0003171464,0.0004878818,0.0006172805,0.008847792,0.0004548083,0.0001470066,0.07339743],"study_design_scores_gemma":[0.00001599927,0.002748142,0.9911126,0.00002187068,0.0001134414,0.0003314235,0.0006108737,0.001357847,0.002295196,0.0003581715,0.00102549,0.000008846638],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987888,0.00007293132,0.0004762805,0.00006466776,0.000004320582,0.00001069063,0.00002553305,0.00000330569,0.0005534875],"genre_scores_gemma":[0.9994599,0.00004940173,0.00026105,0.00001055514,0.000001912596,0.000005209785,0.00001108482,5.271802e-7,0.0002004043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00178298,"threshold_uncertainty_score":0.005964696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0074435617337703,"score_gpt":0.2440967387897427,"score_spread":0.2366531770559724,"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."}}