{"id":"W4394314893","doi":"10.6084/m9.figshare.1194988.v3","title":"Woodlot and Grassland Pan Traps in Danby Woods","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassland; Forestry; Geography; Agroforestry; Environmental science; Ecology; Biology","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":[0.0007411251,0.0007814167,0.0006334073,0.001451483,0.0005728675,0.0007743273,0.001195038,0.000591727,0.01985836],"category_scores_gemma":[0.001613482,0.0003712602,0.0004195637,0.002512331,0.0001790732,0.0004443899,0.0008985534,0.0005745972,0.008588457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399432,"about_ca_system_score_gemma":0.001833903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1347788,"about_ca_topic_score_gemma":0.3698473,"domain_scores_codex":[0.9994894,0.0001046465,0.0000578085,0.0001607923,0.0001001606,0.00008707953],"domain_scores_gemma":[0.9989884,0.0001144994,0.0002280596,0.0001526285,0.0003604542,0.0001558567],"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":[0.000465242,0.0001895333,0.05960546,0.001437077,0.000158797,0.0002048112,0.000428967,0.0008512644,0.00117992,0.001312114,0.9171212,0.01704549],"study_design_scores_gemma":[0.0002454278,0.00007839042,0.2447307,0.0006555158,0.00006965615,0.0001247028,0.001231032,0.001153735,0.001094684,0.0005742535,0.7499682,0.00007381085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007875008,0.0001670723,0.0002572578,0.00006975875,0.00003353896,0.0002106891,0.9884631,0.0001139882,0.002809652],"genre_scores_gemma":[0.01606072,0.0001714958,0.003728227,0.0001437926,0.00002231057,0.001708961,0.9712811,0.00007167591,0.006811784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1347788,"threshold_uncertainty_score":0.2679887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735215400345681,"score_gpt":0.2199901063212172,"score_spread":0.1926379523177604,"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."}}