{"id":"W3062304542","doi":"10.1101/2020.08.18.256420","title":"STRATEGIC IDENTIFICATION OF NEW GENETIC DIVERSITY TO EXPAND LENTIL <i>Lens culinaris</i> Medik. PRODUCTION USING NEPAL AS AN EXAMPLE","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Pulse Growers; Genome Prairie; Western Grains Research Foundation; University of Saskatchewan; Genome Canada","keywords":"Phenology; Biology; Crop; Genetic diversity; Identification (biology); Agronomy; Adaptation (eye); Biotechnology; Geography; Agroforestry; Botany","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":[0.0004094822,0.0002373853,0.0001779402,0.0005598768,0.0004666705,0.0007451384,0.0005219616,0.0002187414,0.002218718],"category_scores_gemma":[0.0002977977,0.0001124453,0.0002487838,0.0005519615,0.0001814319,0.0004668576,0.0007076777,0.0005388547,0.0003223944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007727631,"about_ca_system_score_gemma":0.0006966093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003933372,"about_ca_topic_score_gemma":0.01202522,"domain_scores_codex":[0.9998757,0.00002658941,0.000006060217,0.0000445559,0.00002055668,0.00002657889],"domain_scores_gemma":[0.9997649,0.00005522594,0.00004021303,0.00003507313,0.00003500279,0.00006966541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005973822,0.0006343434,0.04595528,0.0002995162,0.00007450508,0.001924095,0.001726322,0.001177799,0.811166,0.002657508,0.001137602,0.1326497],"study_design_scores_gemma":[0.0003418782,0.00336492,0.698513,0.000231355,0.000321566,0.003856719,0.006489565,0.008984243,0.1763442,0.002364293,0.09907626,0.0001119832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847689,0.000279724,0.004497479,0.0001945668,0.000007558852,0.0001819372,0.0005239965,0.00007906171,0.009466848],"genre_scores_gemma":[0.9695044,0.0004567904,0.02443345,0.0002032243,0.000009173379,0.0001704131,0.001752823,0.00004744755,0.003422223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003933372,"threshold_uncertainty_score":0.007820964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07845632815119052,"score_gpt":0.2277565609956637,"score_spread":0.1493002328444732,"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."}}