{"id":"W2938629214","doi":"","title":"An Evaluation on the Lightings of Artificial Turf Football Fields Owned by Official Organizations and Private Enterprises.","year":2019,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Football; Business; Advertising; Marketing; Psychology; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000198707,0.00007918786,0.00008380015,0.00002590469,0.0001169791,0.0000247633,0.00008856533,0.000024533,0.001573444],"category_scores_gemma":[0.00002833931,0.00005465083,0.00001306053,0.000193482,0.00006493211,0.00009694321,0.00005332271,0.00003984462,0.00009980682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056606,"about_ca_system_score_gemma":0.00001457874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005144507,"about_ca_topic_score_gemma":0.00003054733,"domain_scores_codex":[0.9992536,0.00006447545,0.0001629339,0.0001813863,0.0002586328,0.00007895814],"domain_scores_gemma":[0.9995695,0.0000562726,0.0001138101,0.0001691072,0.00006741803,0.00002384363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001948278,0.004015504,0.2210936,0.0001318767,0.0004803044,3.112877e-7,0.03860958,0.005720294,0.08117253,0.1761701,0.4057734,0.06663769],"study_design_scores_gemma":[0.0004344735,0.0003283716,0.8126967,0.00004507716,0.0001414826,3.441027e-7,0.008265799,0.0007870297,0.005641355,0.004219697,0.1670963,0.0003433427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991876,0.0001167607,0.0001122258,0.004318157,0.0005572904,0.0003863641,0.000002239121,0.00001837376,0.002612596],"genre_scores_gemma":[0.9966271,0.00003821608,0.0001291486,0.001022831,0.00004104153,0.0000413515,0.00001348181,0.000006615482,0.002080239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5916031,"threshold_uncertainty_score":0.9993393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236563049163546,"score_gpt":0.2993265493420963,"score_spread":0.2756702444257417,"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."}}