{"id":"W4366572732","doi":"10.1002/cft2.20220","title":"<i>Crop, Forage &amp; Turfgrass Management</i> Annual Report: 2022","year":2023,"lang":"en","type":"article","venue":"Crop Forage & Turfgrass Management","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forage; Crop; Citation; Agronomy; Agricultural economics; Mathematics; Agricultural science; Computer science; Agricultural engineering; Library science; Environmental science; Engineering; Biology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004766026,0.001426711,0.0006756404,0.003067404,0.001766365,0.007077605,0.001564512,0.002579302,0.1746324],"category_scores_gemma":[0.00920449,0.0005049846,0.0006512825,0.003300991,0.0005251099,0.002408532,0.001896102,0.00285383,0.1741279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002645304,"about_ca_system_score_gemma":0.00901402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107747,"about_ca_topic_score_gemma":0.02771162,"domain_scores_codex":[0.99589,0.000294292,0.000245405,0.0003108141,0.002756882,0.0005026948],"domain_scores_gemma":[0.9722927,0.001537126,0.002229984,0.0006538726,0.01754841,0.00573779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001490145,0.00001761949,0.0003203557,0.00004900376,0.000002023329,0.000007459589,0.000004727885,0.00001028144,0.0001796373,0.00007229781,0.9951234,0.004198201],"study_design_scores_gemma":[0.00001660272,0.00004038456,0.007078342,0.0001606317,0.000004847277,0.00002578887,0.00006278286,0.00007618099,0.0004215761,0.0001214726,0.9919734,0.00001805253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004969555,0.008277917,0.002994054,0.08162338,0.07840332,0.002921227,0.2582864,0.007741672,0.5547825],"genre_scores_gemma":[0.01715085,0.0113674,0.007689435,0.03491887,0.0179933,0.002850445,0.2729997,0.003324734,0.6317052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1746324,"threshold_uncertainty_score":0.5842036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155962420145534,"score_gpt":0.2455533740306848,"score_spread":0.2339937498292295,"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."}}