{"id":"W4393431001","doi":"10.5281/zenodo.8250893","title":"Corn field management for wintering waterfowl on eastern Long Island, New York","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Geography; Fishery; Field (mathematics); Field corn; Ecology; Biology; Agronomy; Zea mays; Habitat; Mathematics","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":[0.0002829112,0.0002198423,0.0001787978,0.0004184056,0.001125274,0.0004885391,0.0004009629,0.0001839267,0.004394825],"category_scores_gemma":[0.0003876803,0.0001622445,0.00009639124,0.0003680324,0.0003854026,0.000422253,0.0003958938,0.0002554841,0.0003515646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808699,"about_ca_system_score_gemma":0.001240003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.24972,"about_ca_topic_score_gemma":0.8012044,"domain_scores_codex":[0.9998711,0.00002156376,0.000006939063,0.00004165281,0.00002255909,0.00003614861],"domain_scores_gemma":[0.9996275,0.00004984629,0.0001038859,0.00002074626,0.00008479633,0.0001131255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002240712,0.0004459963,0.9363992,0.0001370645,0.00004903814,0.0009456488,0.002112837,0.0002296567,0.01090487,0.0001930336,0.008658975,0.03969962],"study_design_scores_gemma":[0.000009044213,0.0001667379,0.990603,0.00002521374,0.000008958073,0.00008782433,0.002974421,0.0002111348,0.0002507668,0.00002116942,0.005634924,0.000006792686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9946417,0.0002312884,0.000202179,0.0001204134,0.00003114234,0.0001029131,0.0007091353,0.00001609244,0.003945124],"genre_scores_gemma":[0.9862825,0.0004161415,0.002349994,0.0002047407,0.00003279161,0.0003061279,0.001480362,0.00001178344,0.008915465],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.24972,"threshold_uncertainty_score":0.4965329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713451927836548,"score_gpt":0.242366509070229,"score_spread":0.1952319897918635,"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."}}