{"id":"W6889712506","doi":"10.26181/13186757.v2","title":"Climate change and Canadian community grass-based sport fields","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Variety (cybernetics); Participant observation; Key (lock); Content analysis; Recreation; Interview","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000528205,0.00005815551,0.00004885385,0.00001600702,0.0006416733,0.00008622312,0.0002290588,0.00003403648,0.0791851],"category_scores_gemma":[0.00004615113,0.00005658728,0.00001527993,0.00001703609,0.00001401408,0.0001450168,0.0001690922,0.00009113086,0.001175177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003885824,"about_ca_system_score_gemma":0.000004787083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09639336,"about_ca_topic_score_gemma":0.6546975,"domain_scores_codex":[0.9996222,0.00000970014,0.00004710465,0.00008481533,0.00007553032,0.0001606009],"domain_scores_gemma":[0.9994757,0.00000778476,0.00004484129,0.00033217,0.000003373006,0.0001361916],"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":[0.000009819755,0.00007096207,0.2465921,0.0001454452,0.000009463095,0.0001031622,0.0008279721,0.00006745459,0.000008502864,0.0003160792,0.6490088,0.1028403],"study_design_scores_gemma":[0.00008567996,0.00001052623,0.7683909,0.00005222763,0.000001685433,3.614645e-7,0.00002914614,0.0002987849,0.00001239249,0.00002372792,0.2310293,0.00006529454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.237202,0.00006968169,0.000004488579,0.009016831,0.0003195655,0.001653784,0.1090577,0.0002164048,0.6424595],"genre_scores_gemma":[0.9936055,0.000002473075,0.00003666024,0.001812433,0.00001389091,0.00006717317,0.004275929,0.000005016755,0.000180916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7564034,"threshold_uncertainty_score":0.9996025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0993428242301334,"score_gpt":0.2710483854642826,"score_spread":0.1717055612341492,"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."}}