{"id":"W4280647113","doi":"10.1002/csc2.20779","title":"Agronomical evaluation of low dormancy alfalfa populations selected by an indoor screening method","year":2022,"lang":"en","type":"article","venue":"Crop Science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Crop Industry Development Fund; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Dormancy; Biology; Cultivar; Hardiness (plants); Population; Agronomy; Yield (engineering); Chilling requirement; Horticulture; Germination; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002622646,0.0003413919,0.0003076817,0.000411182,0.0003135339,0.000248387,0.0003181248,0.0002326962,0.0008895891],"category_scores_gemma":[0.0002580116,0.0001531687,0.0003240053,0.0002387615,0.0001709202,0.00006934439,0.0002494032,0.0004299927,0.0002005508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396078,"about_ca_system_score_gemma":0.0001824405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346693,"about_ca_topic_score_gemma":0.008482696,"domain_scores_codex":[0.9997333,0.00004093286,0.00001830688,0.00008759501,0.00007464911,0.000045249],"domain_scores_gemma":[0.9995475,0.00006706369,0.0001017211,0.00006167071,0.0001048438,0.0001170845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007857424,0.00006030486,0.002079441,0.000008838624,0.000006179212,0.00002080248,0.00005602696,0.00002899635,0.9960179,0.000008202309,0.0000143918,0.001620438],"study_design_scores_gemma":[0.00004509187,0.002946151,0.3244232,0.000009764158,0.000125674,0.0003718267,0.0003378462,0.00177887,0.6679329,0.0000187438,0.001968798,0.00004121274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968501,0.0000528138,0.002454799,0.00001113724,0.000006079785,0.00003560573,0.0001274334,0.00005552407,0.0004065627],"genre_scores_gemma":[0.9916061,0.00007042209,0.004946013,0.0000434765,0.000005871023,0.0001117235,0.0009408391,0.00004472554,0.002230666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004346693,"threshold_uncertainty_score":0.008642793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04738896911553976,"score_gpt":0.3320470930534183,"score_spread":0.2846581239378785,"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."}}